Datasets:

G-reen
/

fastdetector-val-stat-val

original string	prompt dict	topic string	format string	response_0 string	response_1 string	generator_model string	generation_params string	final_response string	jaccard_1 float64	jaccard_2 float64	levenshtein float64	softngram float64	cosdist float64	bertscore_precision float64	bertscore_recall float64	bertscore float64	moverscore float64	reranker float64	original_perplexity_llama_instruct float64	original_entropy_llama_instruct float64	original_topp_outlier_llama_instruct float64	original_topk_outlier_llama_instruct float64	original_fastdetectgpt_llama_instruct float64	original_perplexity_llama_base float64	original_entropy_llama_base float64	original_topp_outlier_llama_base float64	original_topk_outlier_llama_base float64	original_fastdetectgpt_llama_base float64	final_response_perplexity_llama_instruct float64	final_response_entropy_llama_instruct float64	final_response_topp_outlier_llama_instruct float64	final_response_topk_outlier_llama_instruct float64	final_response_fastdetectgpt_llama_instruct float64	final_response_perplexity_llama_base float64	final_response_entropy_llama_base float64	final_response_topp_outlier_llama_base float64	final_response_topk_outlier_llama_base float64	final_response_fastdetectgpt_llama_base float64	original_binoculars float64	final_response_binoculars float64	original_editlens_score_roberta_large float64	final_response_editlens_bucket_roberta_large int64	final_response_editlens_score_roberta_large float64	original_editlens_bucket_llama_3_2_3b int64	original_editlens_score_llama_3_2_3b float64	final_response_editlens_bucket_llama_3_2_3b int64	final_response_editlens_score_llama_3_2_3b float64	original_editlens_score_giga_roberta float64	final_response_editlens_bucket_giga_roberta int64	final_response_editlens_score_giga_roberta float64	original_editlens_score_giga_llama_3_2_3b float64	final_response_editlens_bucket_giga_llama_3_2_3b int64	final_response_editlens_score_giga_llama_3_2_3b float64
The sharp changes in North Korea policy accomplished by Kim Dae Jung and the Clinton administration were immediately challenged by George W. Bush, within weeks of his inauguration in 2001. Seven years later, the Lee Myung Bak administration appears to think that a daunting rupture occurred between the ROK and the U.S.,...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nModify this text to be as long as possible. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose.\nOutput the full new text with no extra statements or commentations.\nBegin directly w...	Politics	Audio Transcript	The sharp changes in North Korea policy accomplished by Kim Dae Jung and the Clinton administration were immediately challenged by George W. Bush, within weeks of his inauguration in 2		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	The sharp changes in North Korea policy accomplished by Kim Dae Jung and the Clinton administration were immediately challenged by George W. Bush, within weeks of his inauguration in 2	0.976311	0.98823	16,312	0	0.281264	0.181242	0.35453	0.27814	0.86997	-6.875	15.954113	2.651362	0.051531	0.115724	-3.077315	11.599926	2.380524	0.040931	0.088928	-2.011218	29.267077	2.941019	0.088235	0.147059	-1.137848	23.791296	2.750884	0.058824	0.147059	-1.100297	0.819125	0.961063	0.020366	0	0.193622	0	0.012329	0	0.044977	0.002321	1	0.279174	0.002795	0	0.019557
We've designed most of the mission resources as workbooks intentionally. We felt these were the most convenient for people to use - they fit nicely in your hand, are still easy to write in, don't take up much room in a bag and even fit inside a Bible or Bible bag. Similarly, to keep the costs down, we've printed them i...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nRewrite the weakest section in this text, but do not make any modifications to any other section.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what ...	Software	Tutorial	To utilize the booklet creation feature of your software, follow these steps: 1. Open your document and select the Print option. 2. Choose your preferred printer and click on the Properties button. 3. Locate your printer’s booklet setting, often found under the Layout tab. You may need to click on the Booklet / Poste...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	To utilize the booklet creation feature of your software, follow these steps: 1. Open your document and select the Print option. 2. Choose your preferred printer and click on the Properties button. 3. Locate your printer’s booklet setting, often found under the Layout tab. You may need to click on the Booklet / Poster ...	0.767123	0.903315	1,268	0.17256	0.236995	0.117753	0.187594	0.154113	0.626954	-5.1875	13.001837	2.39735	0.043814	0.054124	-1.576063	10.133401	2.37227	0.023196	0.048969	0.555041	8.683636	2.066372	0.060606	0.075758	-0.554271	7.834282	2.093538	0.045455	0.060606	0.209153	0.867307	0.84926	0.018878	1	0.338787	0	0.013199	2	0.706336	0.006363	2	0.721789	0.003034	1	0.44303
Water scarcity is a recognized global problem, with demand for water projected to exceed supply by 40% by 2030. By the same year, half the world’s population will be living in areas of high water stress. Hotel companies have both a strong commercial and moral imperative for addressing water use. Cost is a clear factor:...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a 'few-shot' prompt using minimal, fragmented excerpts from this text as examples. The prompt should be designed to teach an LLM the pattern needed to generate the rest of the text from scratch.\nDo not output anything besides what you were requested to...	Industrial	Product Page	Prompt: "Water usage is a concern for many industries, including hospitals. Reasons include cost and morality. Cost: water can account for 10% of utility bills. Morality: water is scarce and should not be wasted, especially in areas where locals rely on the same supply. Companies like Aqua Tuta offer benefits such as ...	Certainly! Here's the generated text: * Reduced water bills: With efficient water systems, hotels can lower their water consumption, leading to significant savings on utility bills. * Positive brand image: Hotels that prioritize water conservation can enhance their reputation by showcasing their commitment to sustain...	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	* Reduced water bills: With efficient water systems, hotels can lower their water consumption, leading to significant savings on utility bills. * Positive brand image: Hotels that prioritize water conservation can enhance their reputation by showcasing their commitment to sustainability and social responsibility. * Gov...	0.909804	0.994792	1,137	0.867267	0.456555	0.256292	0.273276	0.264882	0.775029	-1.5	17.824293	2.459334	0.074194	0.135484	-3.424144	14.113471	2.473045	0.067742	0.106452	-1.479563	4.914557	1.295333	0.04375	0.03125	-2.553169	5.362646	1.489941	0.03125	0.04375	-1.519101	0.977142	1.011185	0.017753	3	0.999592	0	0.010475	3	0.999971	0.035451	3	0.997436	0.003921	3	0.843615
You can delete a branch uploaded to Launchpad through the web UI. First find the branch in Launchpad. You can get a list of your branches at: The branch page will have a URL like: Then choose the red minus sign at the end of the branch name. If you are not able to delete the branch, you will be shown why not on the bra...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nTake inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should make sure there are slight, subtle grammatical mistakes, to make it sound like it was written by a human.\nOutput...	Software	FAQ	Frequently Asked Questions -------------------------- ### How do I delete a file on Google Drive? To delete a file on Google Drive, first locate the file in your Drive. You can see a list of all your files at [Google Drive website](http://drive.google.com). Once you've found the file, click on the three dots next to...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	### How do I delete a file on Google Drive? To delete a file on Google Drive, first locate the file in your Drive. You can see a list of all your files at [Google Drive website](http://drive.google.com). Once you've found the file, click on the three dots next to the file name and select "Remove" from the dropdown menu...	0.881081	0.969697	1,736	0.995185	0.639747	0.288236	0.237661	0.263816	0.797996	7.8125	14.549122	2.536721	0.038961	0.103896	-0.551233	11.77278	2.568486	0.012987	0.077922	0.427566	2.621635	1.052269	0.02765	0.004608	1.330956	2.616438	1.012863	0.020737	0.002304	0.824697	0.862414	0.741797	0.017015	1	0.265081	0	0.00646	1	0.50419	0.011043	3	0.977909	0.002476	3	0.967286
Philip Kerr is the New York Times bestselling author of the acclaimed Bernie Gunther novels, three of which—Field Gray, The Lady from Zagreb, and Prussian Blue—were finalists for the Edgar® Award for Best Novel. Kerr has also won several Shamus Awards and the British Crime Writers’ Association Ellis Peters Award for Hi...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a piece of text with a different topic that the author of this text might write about.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you h...	Literature	Audio Transcript	The Renaissance was a period of explosive growth and change in art, science, and culture, spanning the 14th to the 17th century. During this time, artists such as Leonardo da Vinci and Michelangelo pushed the boundaries of what was possible in painting and sculpture, while scientists like Galileo and Copernicus challe...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	The Renaissance was a period of explosive growth and change in art, science, and culture, spanning the 14th to the 17th century. During this time, artists such as Leonardo da Vinci and Michelangelo pushed the boundaries of what was possible in painting and sculpture, while scientists like Galileo and Copernicus challen...	0.929907	0.988351	3,912	1	0.84604	0.266305	0.285526	0.276043	0.787406	15.5625	11.682384	2.232533	0.056273	0.081181	-3.640885	8.611351	2.169233	0.031365	0.054428	0.271913	3.392827	1.058887	0.04607	0.01355	-2.41363	3.393107	1.30656	0.02981	0.01084	1.109495	0.825113	0.854844	0.1262	3	0.991836	0	0.143031	3	0.999984	0.003592	3	0.999925	0.002355	3	0.999993
A detailed insight into the angel numbers and the world they represent can reveal the knowledge of destiny – the path of life, with all the happiness and successes, or misfortunes and difficulties it carries along. Numbers trigger vibrations, and it is the Force that shapes our lives, and by following the same pattern,...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite another piece of text that resembles the style and language of this text.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you have written.\...	Religion	Knowledge Article	Knowledge Article: A profound understanding of color energy and the universe it embodies can shed light upon the journey of life, encompassing moments of triumph and failure, ease and adversity. Colors radiate vibrations, and it is the Cosmic Force that guides our existence, shaping our destinies through consistent p...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	Knowledge Article: A profound understanding of color energy and the universe it embodies can shed light upon the journey of life, encompassing moments of triumph and failure, ease and adversity. Colors radiate vibrations, and it is the Cosmic Force that guides our existence, shaping our destinies through consistent pat...	0.931759	0.985816	4,836	0.99818	0.717168	0.224255	0.222628	0.223443	0.712076	10.8125	20.151442	2.895528	0.061503	0.116932	-1.80492	17.047748	2.796116	0.050114	0.107062	-0.660861	9.155706	2.400698	0.022838	0.068515	2.420335	8.878797	2.332239	0.016313	0.065253	1.924879	0.919743	0.79571	0.039913	3	0.999383	0	0.038	3	0.944266	0.005393	3	0.989066	0.002804	2	0.671019
Let me know, maybe it was a lucky shot. I check in 3 hours again. Unplug your shifter.... worked here I unplugged the shifter. That worked for 2 times in a row. check later this evening Did that too, doesn't work either.. When it worked, pls let me know I did reinstall the game, not working got the 0842, digital copy f...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nEdit this text by replacing exactly one to three sentences, without changing anything else.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you ha...	Games	Comment Section	Let me know if it was a lucky shot. I will check in 3 hours again. Unplugging the shifter worked for me two times in a row. Check later this evening. I also tried reinstalling the game, but it didn't solve the issue. Got the 0842 error code with my digital copy from the PS Store. After doing a fresh install, switching...	In the last few days, several players reported issues with their racing wheels on various games and platforms. Some found success by unplugging and replugging the shifter, updating the firmware, or changing USB ports. Others suspect defective units or compatibility problems. Here are some of their stories: * "Unplugg...	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	In the last few days, several players reported issues with their racing wheels on various games and platforms. Some found success by unplugging and replugging the shifter, updating the firmware, or changing USB ports. Others suspect defective units or compatibility problems. Here are some of their stories: * "Unpluggin...	0.79257	0.902857	1,034	0.590406	0.154765	0.174514	0.181937	0.178242	0.647648	2.9375	72.015324	4.123702	0.061466	0.248227	-1.126224	47.338616	3.675261	0.06383	0.208038	-1.473245	18.637849	3.042473	0.039216	0.106443	0.902942	15.911869	2.839721	0.047619	0.092437	0.598753	0.821649	0.806738	0.009468	0	0.115859	0	0.016718	1	0.382916	0.015745	1	0.361814	0.008715	1	0.307781
In a beautiful small village of Bastar, Jhitku and Mitki met at a local fair and It was love at first sight ! Soon after, the word spread across the family and Jhitku's family had no objection, but Mitki's seven brothers were not ready for it. Mitki's seven brothers didn't wanted to leave alone and demanded Jitku to st...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nEdit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow.\nOutput the full new text with no extra statements or commentations.\nBegin di...	Literature	Creative Writing	In the picturesque hamlet of Bastar, Jhitku and Mitki crossed paths at a local festival, and it was love at first sight. As the news of their budding romance reached their families, Jhitku's relatives welcomed the match, whereas Mitki's seven brothers raised objections. They insisted that Jhitku should reside with the...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	In the picturesque hamlet of Bastar, Jhitku and Mitki crossed paths at a local festival, and it was love at first sight. As the news of their budding romance reached their families, Jhitku's relatives welcomed the match, whereas Mitki's seven brothers raised objections. They insisted that Jhitku should reside with them...	0.845304	0.960526	1,417	0.744762	0.25715	0.163055	0.13779	0.15061	0.592162	0.125	17.40432	2.777897	0.054705	0.098468	-0.730703	15.763598	2.679438	0.04814	0.087527	-0.752667	13.421491	2.27063	0.073563	0.110345	-3.392392	11.763297	2.246169	0.048276	0.094253	-2.31673	0.912344	0.959428	0.012112	1	0.34355	0	0.017545	2	0.606165	0.004737	1	0.385034	0.011611	1	0.462
As in most cartoons from the early Silly Symphonies, sight gags abound. I wonder if anyone laughed at the end of this cartoon. I gasped. It’s not to say that this is a terrible cartoon, but it’s just not up to par with what the cartoons preceding it have done. The basics of the short are that a lovely barmaid, Carmen, ...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nTake inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should make sure there are slight, subtle grammatical mistakes, to make it sound like it was written by a human.\nOutput...	Entertainment	User Review	User Review: Entertainment - New Animated Short Film I just watched this new animated short film and I gotta say, I'm left feeling a bit underwhelmed. Now, don't get me wrong, it's not all bad. The visuals are bright and colorful, and the animation is smooth and fluid. But something about it just didn't sit right wit...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	User Review: Entertainment - New Animated Short Film I just watched this new animated short film and I gotta say, I'm left feeling a bit underwhelmed. Now, don't get me wrong, it's not all bad. The visuals are bright and colorful, and the animation is smooth and fluid. But something about it just didn't sit right with ...	0.918919	0.990533	2,803	1	0.633731	0.244173	0.269233	0.256914	0.764857	12.1875	14.602866	2.618271	0.041769	0.115479	-0.803387	11.926954	2.544176	0.03317	0.087224	0.856398	4.474043	1.133811	0.069182	0.015723	-4.931704	4.135923	1.572513	0.028302	0.012579	1.680403	0.862431	0.853832	0.020767	3	0.99951	0	0.019188	3	0.999961	0.00628	3	0.999978	0.016398	3	0.999997
Mission: The tennessee chapter of the american academy of pediatrics is committed to being a leading voice, advocate and authority for the physical, mental and social welfare of infants, children and adolescents, as well as the pediatricians who care for them. Programs: The organization works with the bureau of tenncar...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nImprove this text by rewriting it. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the t...	Health	About (Org.)	The Tennessee Chapter of the American Academy of Pediatrics is dedicated to being a prominent voice, advocate, and authority for the overall health and well-being of infants, children, and adolescents, as well as the pediatricians who care for them. In pursuit of this mission, the organization collaborates with the Bu...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	The Tennessee Chapter of the American Academy of Pediatrics is dedicated to being a prominent voice, advocate, and authority for the overall health and well-being of infants, children, and adolescents, as well as the pediatricians who care for them. In pursuit of this mission, the organization collaborates with the Bur...	0.726457	0.857143	684	0.375325	0.15307	0.141162	0.128882	0.135066	0.556431	-4.125	11.871114	2.353198	0.060484	0.068548	-0.846513	9.01115	2.375661	0.044355	0.052419	1.297445	10.470218	2.2828	0.051661	0.062731	-0.521934	8.936068	2.225317	0.02952	0.055351	0.293715	0.819425	0.860965	0.008836	0	0.104953	0	0.003555	1	0.420338	0.001896	1	0.294947	0.001881	1	0.433836
JAGGAER’s Amenallah Reghimi and Michael Roesch recently partnered with Philip Ideson, founder and managing director at Art of Procurement, to bring procurement professionals a presentation on response tactics for the current global crisis. Our speakers received far more questions than they were able to answer at the ti...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nFormulate a set of strict, absolute constraints regarding format, word count, vocabulary restrictions, and syntax rules that, if followed perfectly by an AI, would result in generating a text nearly identical to this one. Note that your response should be for...	Finance & Business	Audio Transcript	Generate a document that is formatted exactly like the provided one, using the same headings and structure. The content should be focused on a Q&A session about supply chain management and procurement strategies, specifically addressing topics such as change management, market price updates, supplier relationships, ri...	Finance & Business: Supply Chain Management and Procurement Strategies Interviewer: In today's ever-changing business landscape, how can companies effectively manage changes in their supply chains? Expert: Change management in supply chain management is crucial for businesses to adapt and thrive. Companies s...	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	Finance & Business: Supply Chain Management and Procurement Strategies Interviewer: In today's ever-changing business landscape, how can companies effectively manage changes in their supply chains? Expert: Change management in supply chain management is crucial for businesses to adapt and thrive. Companies shou...	0.891727	0.99192	6,143	0.990985	0.441778	0.250955	0.258369	0.254681	0.788485	2.5625	15.611532	2.658813	0.042937	0.091475	-1.666081	12.337936	2.525979	0.039826	0.074673	0.262874	4.023307	1.100151	0.064394	0.020833	-4.833157	3.704812	1.329561	0.030303	0.020833	0.305322	0.854275	0.936532	0.010544	3	0.999579	1	0.238806	3	0.999918	0.001734	3	0.997572	0.002784	3	0.995097
The Pack contains associated resources for the learning experience, typically in the form of articles and videos. There is a teacher Pack (with only teacher information) and a student Pack (which contains only student information). As a teacher, you can toggle between both to see everything. Here are the teacher pack i...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a prequel to this text, describing the events, thoughts, or historical context that immediately led up to this piece being written, making sure to use similar language and wording as the author, as if it was written by the author.\nOutput the full new t...	History	Product Page	Product Page: In the lead up to 1968, the United States found itself in the midst of significant social and political change. The country was grappling with issues such as civil rights, the Vietnam War, and poverty, leading to widespread unrest among many groups, including college students. As the year approached, te...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	Product Page: In the lead up to 1968, the United States found itself in the midst of significant social and political change. The country was grappling with issues such as civil rights, the Vietnam War, and poverty, leading to widespread unrest among many groups, including college students. As the year approached, tens...	0.789683	0.898551	1,276	0.788284	0.219056	0.197195	0.155158	0.176712	0.644261	-2	15.51147	2.525018	0.042918	0.11588	-1.487888	11.264628	2.504724	0.030043	0.107296	0.602275	5.487837	1.593121	0.045455	0.033333	-1.158065	5.244263	1.781942	0.021212	0.033333	1.308674	0.842289	0.883417	0.074456	1	0.42167	0	0.063779	3	0.98653	0.008064	3	0.998367	0.006961	3	0.926929
Ever thought of adding Barcelona’s greatest libraries to your must-see itinerary? In this post, we’ll tell you all about the best-kept secrets of Barcelona’s literary scene, with some of the most spectacular buildings to see and perfectly complete your visit to Barcelona. Biblioteca Jaume Foster Architect Josep Llinàs ...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nEnvision the scenario in which the author wrote this text. Describe that scenario in exhaustive detail.\nDo not output anything besides what you were requested to write, and do not output any extra commentary.", "{{RESP_0}}\nAbove is an AI generated descr...	Travel	Listicle	The author is sitting at a desk in a quiet room, surrounded by books and papers. There are photographs and postcards of Barcelona's libraries pinned to a corkboard above the desk. The author has been researching the topic, taking notes and gathering information about the libraries' histories, architecture, and collect...	Barcelona: A Literary Tour of the City's Hidden Gems Barcelona is a city steeped in history, culture, and beauty. While famous landmarks like La Sagrada Familia and Park Guell rightfully attract throngs of visitors, there is another side to Barcelona that is worth exploring: its libraries. These institutions, often o...	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	Barcelona: A Literary Tour of the City's Hidden Gems Barcelona is a city steeped in history, culture, and beauty. While famous landmarks like La Sagrada Familia and Park Guell rightfully attract throngs of visitors, there is another side to Barcelona that is worth exploring: its libraries. These institutions, often ove...	0.882979	0.965744	2,396	0.925644	0.177451	0.19642	0.180693	0.188632	0.647824	1.0625	13.989013	2.610703	0.053279	0.094262	-0.277767	11.043947	2.446635	0.045082	0.088115	0.463752	3.469802	1.021627	0.046784	0.017544	-4.249848	3.138029	1.195714	0.020468	0.017544	0.941121	0.831959	0.839431	0.013881	3	0.999271	0	0.012652	3	0.999988	0.002722	3	0.99996	0.001667	3	0.999995
OVERLAND PARK, Kan. (WDAF) — Patrick Mahomes trading card values are soaring. According to Barrons.com, just last week a Mahomes signed rookie card sold for $861,000! A Kansas City collector has a small stash that might be able to top that. Scott Neal has been collecting since he was a kid. He owns The Baseball Card St...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nExpand this text by adding real-world applications and specific details.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you have written.", "...	Sports & Fitness	News Article	Overland Park, Kan. (WDAF) - The value of Patrick Mahomes trading cards has skyrocketed in recent times, reaching unprecedented levels. According to Barron's, a Mahomes signed rookie card was sold for a staggering $861,00	Overland Park, Kansas: A Patrick Mahomes signed rookie card was sold for an astonishing $861,000, according to Barron's. This sale showcases the soaring value of Mahomes' trading cards, which have reached unprecedented heights.	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	Overland Park, Kansas: A Patrick Mahomes signed rookie card was sold for an astonishing $861,000, according to Barron's. This sale showcases the soaring value of Mahomes' trading cards, which have reached unprecedented heights.	0.944606	0.990926	2,912	0.462857	0.159605	0.186142	0.290092	0.241663	0.785277	-7.5	16.442063	2.625354	0.047143	0.094286	-2.09255	12.172782	2.378123	0.051429	0.082857	-1.58295	18.848649	2.502024	0.125	0.145833	-1.35519	18.770197	2.997092	0.0625	0.145833	0.191651	0.836199	0.984179	0.024367	1	0.503507	0	0.028437	1	0.479814	0.002368	3	0.827494	0.002452	1	0.52108
IRON SEAL™ has been changing in recent weeks. The main changes concern the expansion of the known world and the relationship between characters. Read on to find out what JAMATORA plan to do with this new game set in the unusual world. When we started working on "Iron Seal", the world seemed simple. Just one continent s...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nRestructure this text to improve the transitions and connections between ideas.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you have written."...	Games	News (Org.)	When the team at JAMATORA began developing "Iron Seal," the world was initially conceived as a single continent surrounded by seas and oceans. While the map was visually appealing and made it easy for players to navigate, the simplicity of the world became apparent. To create more challenges for players, JAMATORA deci...	In the realm of game development, creators like Jamatora are constantly seeking ways to enhance the player's experience by introducing innovative elements and challenges. For their game "Iron Seal," the initial concept featured a single continent surrounded by vast seas, providing a simple and easily navigable world. ...	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	In the realm of game development, creators like Jamatora are constantly seeking ways to enhance the player's experience by introducing innovative elements and challenges. For their game "Iron Seal," the initial concept featured a single continent surrounded by vast seas, providing a simple and easily navigable world. H...	0.888889	0.974093	2,106	0.951282	0.298475	0.235306	0.199025	0.217586	0.721387	1.75	24.548559	2.96882	0.049242	0.140152	-1.573548	19.96904	2.98391	0.037879	0.125	-0.071456	5.833658	1.513301	0.054393	0.037657	-3.404561	5.905954	1.842057	0.025105	0.039749	0.827167	0.925894	0.961479	0.012867	3	0.99962	0	0.011538	3	0.999996	0.002247	3	0.999928	0.006004	3	0.999562
Epoxy floor coating is a great choice for manufacturing plants, storage and warehousing flooring. Honestone’s epoxy coating is ideal for concrete floors in industrial and commercial environments. It ensures a smooth, durable and patch-free surface that can withstand heavy weight and large traffic. Our epoxy toppings ar...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a piece of text in the same style and language as this text, but is directly contrasting to the themes, ideas, and/or details in this text.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not...	Industrial	Product Page	Product Page: Epoxy-Free Flooring Solution - Honestone's Alternative to Epoxy Flooring --------------- At Honestone, we understand that epoxy flooring isn't always the perfect fit for every project. That's why we offer an epoxy-free flooring solution for those who seek alternative benefits and features. Our innovati...		mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	At Honestone, we understand that epoxy flooring isn't always the perfect fit for every project. That's why we offer an epoxy-free flooring solution for those who seek alternative benefits and features. Our innovative product provides a seamless, easy-to-clean surface that requires minimal maintenance compared to epoxy ...	0.908907	0.991736	2,621	0.829726	0.45776	0.240795	0.231575	0.236213	0.750332	5.125	15.693652	2.550047	0.053296	0.078541	-2.583653	12.443767	2.497524	0.047686	0.065919	-0.314192	4.617508	1.244595	0.049383	0.02716	-3.815216	4.650456	1.483772	0.02963	0.02963	-0.65504	0.905045	0.959064	0.011589	3	0.961016	0	0.003059	3	0.973733	0.001704	2	0.616314	0.000829	3	0.832133
Since I've had the nesting bug so bad I've been pinning like crazy! If you don't follow me yet on Pinterest you can follow here. Here are some things on my mind lately: 1. DIY Burlap Wreath I actually made this last night and it's much easier than I expected it to be! There was definitely a small learning curve but onc...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nClarify this text by paraphrasing it with different vocabulary and varied sentence structures.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you...	Home & Hobbies	Listicle	I've been obsessed with creating nested designs recently, and if you're not already following me on Pinterest, you can find me here. Here are some ideas that have been on my mind lately: 1. Burlap Wreath I created this wreath last night, and it turned out to be simpler than I initially thought! Although there was a s...	I've been captivated by creating nested designs recently, and if you're not already following me on Pinterest, you can find me here. Here are some ideas that have been on my mind lately: 1. Burlap Wreath: After deciding to create this wreath last night, I discovered it was simpler than I initially thought! Despite a ...	mistralai/Mixtral-8x7B-Instruct-v0.1	{"temperature": 0.7, "top_p": 0.95, "extra_body": {"top_k": 40, "repetition_penalty": 1.1, "chat_template_kwargs": {"enable_thinking": false}}}	I've been captivated by creating nested designs recently, and if you're not already following me on Pinterest, you can find me here. Here are some ideas that have been on my mind lately: 1. Burlap Wreath: After deciding to create this wreath last night, I discovered it was simpler than I initially thought! Despite a sl...	0.775244	0.923554	977	0.74482	0.141775	0.156321	0.1511	0.153719	0.579656	-4.0625	16.575778	2.461175	0.059006	0.102484	-2.775696	11.371796	2.550407	0.034161	0.062112	1.004829	13.597126	2.381386	0.046921	0.102639	-2.051592	12.13263	2.502112	0.035191	0.082111	0.056274	0.820115	0.900828	0.028645	1	0.420286	0	0.017138	1	0.451577	0.011331	2	0.823398	0.004761	2	0.584488

End of preview. Expand in Data Studio

Auto-Generated FastDetector Dataset

Dataset: G-reen/fastdetector-val-stat-val
Globals Config: config/globals_val.toml
Analysis Config: config/analysis.toml
Rows: 12,271

Evaluation Results

Prompt Subsets: 4 (direct_reference, indirect_reference, revise, rewrite)
Generator Configs: 7 (Llama-4-Scout-17B-16E-Instruct-NVFP4 (Temp: 0.6), Mixtral-8x7B-Instruct-v0.1 (Temp: 0.7), claude-sonnet-4-5-20250929 (Temp: Unknown), claude-sonnet-5 (Temp: Unknown), gpt-3.5-turbo (Temp: Unknown), gpt-4o (Temp: Unknown), hy3 (Temp: Unknown))
Classifiers: 19 (EditLens Roberta-Large Score, EditLens Roberta-Large Bucket, EditLens Llama-3.2-3B Score, EditLens Llama-3.2-3B Bucket, EditLens Giga RoBERTa-Large Score, EditLens Giga RoBERTa-Large Bucket, EditLens Giga Llama-3.2-3B Score, EditLens Giga Llama-3.2-3B Bucket, Perplexity (Llama-3.2-3B-Instruct), Perplexity (Llama-3.2-3B), Entropy (Llama-3.2-3B-Instruct), Entropy (Llama-3.2-3B), Top-p Outliers (Llama-3.2-3B-Instruct), Top-p Outliers (Llama-3.2-3B), Top-k Outliers (Llama-3.2-3B-Instruct), Top-k Outliers (Llama-3.2-3B), FastDetectGPT (Llama-3.2-3B-Instruct), FastDetectGPT (Llama-3.2-3B), Binoculars)
Filter Conditions: cosdist >= 0.03 OR softngram >= 0.06
Evaluation / Validation Rows: 11,043 / 1,228 (validation_size = 0.1)
Base Columns: original (Human), final_response (AI)

The best classifier was EditLens Giga Llama-3.2-3B Score with an AUROC of 0.9521. The hardest prompt subset was rewrite with a TPR of 0.1685, and the hardest generator config was hy3 (Temp: Unknown) with a TPR of 0.2105.

Classifier	Threshold	AUROC	TPR	FPR	Accuracy	F1
✔️ EditLens Giga Llama-3.2-3B Score	0.3188	0.9521	0.6328	0.0028	0.8150	0.7738
EditLens Llama-3.2-3B Score	0.3526	0.9352	0.6510	0.0056	0.8227	0.7859
EditLens Giga RoBERTa-Large Score	0.6381	0.9268	0.5297	0.0075	0.7611	0.6891
EditLens Roberta-Large Score	0.5167	0.9039	0.4454	0.0080	0.7187	0.6130
EditLens Llama-3.2-3B Bucket	0.0000	0.8702	0.7540	0.0235	0.8653	0.8484
EditLens Giga RoBERTa-Large Bucket	0.0000	0.8609	0.7409	0.0281	0.8564	0.8377
EditLens Giga Llama-3.2-3B Bucket	0.0000	0.8523	0.7079	0.0052	0.8514	0.8265
EditLens Roberta-Large Bucket	0.0000	0.8193	0.6775	0.0576	0.8100	0.7810
Perplexity (Llama-3.2-3B-Instruct)	4.4416	0.6590	0.0721	0.0024	0.5348	0.1342
Entropy (Llama-3.2-3B-Instruct)	1.4199	0.6561	0.0867	0.0033	0.5417	0.1590
Top-k Outliers (Llama-3.2-3B-Instruct)	0.0212	0.6316	0.0635	0.0026	0.5304	0.1191
Perplexity (Llama-3.2-3B)	1.2539	0.6053	0.0003	0.0012	0.4995	0.0005
Binoculars	1.0377	0.6047	0.0139	0.0043	0.5048	0.0272
Top-p Outliers (Llama-3.2-3B)	0.0026	0.6046	0.0071	0.0025	0.5023	0.0140
Entropy (Llama-3.2-3B)	0.3161	0.5986	0.0004	0.0017	0.4993	0.0007
Top-k Outliers (Llama-3.2-3B)	0.0045	0.5871	0.0054	0.0020	0.5017	0.0108
Top-p Outliers (Llama-3.2-3B-Instruct)	0.0244	0.5437	0.0243	0.0060	0.5091	0.0471
FastDetectGPT (Llama-3.2-3B-Instruct)	3.2075	0.5106	0.0050	0.0054	0.4998	0.0099
❗ FastDetectGPT (Llama-3.2-3B)	-3.0452	0.4278	0.0115	0.0052	0.5032	0.0226

Classifier metrics averaged within each prompt and generator subset:

Subset	Average AUROC	Average TPR	Average FPR	Average Accuracy	Average F1
✔️ Model: Mixtral-8x7B-Instruct-v0.1 (Temp: 0.7)	0.7756	0.3731	0.0096	0.6818	0.4244
Model: Llama-4-Scout-17B-16E-Instruct-NVFP4 (Temp: 0.6)	0.7427	0.2729	0.0093	0.6318	0.3590
Prompt: revise	0.7341	0.3286	0.0088	0.6599	0.3695
Prompt: direct_reference	0.7329	0.3292	0.0094	0.6599	0.3939
Prompt: indirect_reference	0.7303	0.2819	0.0081	0.6369	0.3578
Model: gpt-3.5-turbo (Temp: Unknown)	0.7281	0.3027	0.0083	0.6472	0.3734
Model: gpt-4o (Temp: Unknown)	0.7254	0.3201	0.0087	0.6557	0.3658
Model: claude-sonnet-4-5-20250929 (Temp: Unknown)	0.7077	0.2659	0.0090	0.6284	0.3272
Model: claude-sonnet-5 (Temp: Unknown)	0.6947	0.2400	0.0098	0.6151	0.3028
Prompt: rewrite	0.6329	0.1685	0.0108	0.5788	0.2378
❗ Model: hy3 (Temp: Unknown)	0.6092	0.2105	0.0097	0.6004	0.2780

✔️ marks the best AUROC, ❗ the worst.

Statistics of Interest

Appendix

Table of contents

Univariate Analysis

Correlation Heatmap

Distance Histograms

Distance Histograms per Prompt Subset

Distance Histograms per Generator Config Subset

Classifier: EditLens Roberta-Large Score

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Roberta-Large Bucket

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Llama-3.2-3B Score

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Llama-3.2-3B Bucket

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Giga RoBERTa-Large Score

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Giga RoBERTa-Large Bucket

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Giga Llama-3.2-3B Score

Performance:

Thresholding:

Classification Histograms:

Classifier: EditLens Giga Llama-3.2-3B Bucket

Performance:

Thresholding:

Classification Histograms:

Classifier: Perplexity (Llama-3.2-3B-Instruct)

Performance:

Thresholding:

Classification Histograms:

Classifier: Perplexity (Llama-3.2-3B)

Performance:

Thresholding:

Classification Histograms:

Classifier: Entropy (Llama-3.2-3B-Instruct)

Performance:

Thresholding:

Classification Histograms:

Classifier: Entropy (Llama-3.2-3B)

Performance:

Thresholding:

Classification Histograms:

Classifier: Top-p Outliers (Llama-3.2-3B-Instruct)

Performance:

Thresholding:

Classification Histograms:

Classifier: Top-p Outliers (Llama-3.2-3B)

Performance:

Thresholding:

Classification Histograms:

Classifier: Top-k Outliers (Llama-3.2-3B-Instruct)

Performance:

Thresholding:

Classification Histograms:

Classifier: Top-k Outliers (Llama-3.2-3B)

Performance:

Thresholding:

Classification Histograms:

Classifier: FastDetectGPT (Llama-3.2-3B-Instruct)

Performance:

Thresholding:

Classification Histograms:

Classifier: FastDetectGPT (Llama-3.2-3B)

Performance:

Thresholding:

Classification Histograms:

Classifier: Binoculars

Performance:

Thresholding:

Classification Histograms:

Univariate Analysis

Every statistic the report does arithmetic on, over the 11,043-row evaluation split. Invalid counts rows whose value is missing or non-finite; those rows are excluded from the other columns.

Statistic	N	Mean	Median	Std	Min	Max
jaccard_1	11,043	0.6774	0.7622	0.2268	0.0000	1.0000
jaccard_2	11,043	0.8003	0.9099	0.2345	0.0216	1.0000
levenshtein	11,043	1990.5932	1355.0000	2350.3864	11.0000	65876.0000
softngram	11,043	0.6141	0.6751	0.3128	0.0000	1.0000
cosdist	11,043	0.2197	0.1545	0.2016	-0.0047	1.0315
bertscore	11,043	0.1463	0.1529	0.0689	0.0041	0.4338
bertscore_precision	11,043	0.1439	0.1483	0.0679	0.0036	0.5106
bertscore_recall	11,043	0.1475	0.1534	0.0760	0.0014	0.4319
moverscore	11,043	0.5620	0.6027	0.1646	0.1011	1.0810
reranker	11,043	-2.8248	-4.6875	5.8203	-11.1875	19.0000
EditLens Roberta-Large Score (Human)	11,043	0.0582	0.0205	0.0989	0.0064	0.9993
EditLens Roberta-Large Score (AI)	11,043	0.5103	0.4360	0.3677	0.0065	0.9996
EditLens Roberta-Large Bucket (Human)	11,043	0.0697	0.0000	0.3182	0.0000	3.0000
EditLens Roberta-Large Bucket (AI)	11,043	1.4634	1.0000	1.2944	0.0000	3.0000
EditLens Llama-3.2-3B Score (Human)	11,043	0.0455	0.0225	0.0627	0.0003	0.8558
EditLens Llama-3.2-3B Score (AI)	11,043	0.5326	0.5065	0.3411	0.0011	1.0000
EditLens Llama-3.2-3B Bucket (Human)	11,043	0.0245	0.0000	0.1638	0.0000	3.0000
EditLens Llama-3.2-3B Bucket (AI)	11,043	1.5378	1.0000	1.1914	0.0000	3.0000
EditLens Giga RoBERTa-Large Score (Human)	11,043	0.0258	0.0049	0.0962	0.0013	0.9999
EditLens Giga RoBERTa-Large Score (AI)	11,043	0.5949	0.7005	0.3972	0.0014	1.0000
EditLens Giga RoBERTa-Large Bucket (Human)	11,043	0.0448	0.0000	0.3034	0.0000	3.0000
EditLens Giga RoBERTa-Large Bucket (AI)	11,043	1.7717	2.0000	1.2732	0.0000	3.0000
EditLens Giga Llama-3.2-3B Score (Human)	11,043	0.0118	0.0039	0.0359	0.0004	0.9339
EditLens Giga Llama-3.2-3B Score (AI)	11,043	0.5171	0.4856	0.3743	0.0007	1.0000
EditLens Giga Llama-3.2-3B Bucket (Human)	11,043	0.0064	0.0000	0.1001	0.0000	3.0000
EditLens Giga Llama-3.2-3B Bucket (AI)	11,043	1.5328	1.0000	1.2510	0.0000	3.0000
Perplexity (Llama-3.2-3B-Instruct) (Human)	11,043	19.5039	16.0945	16.2568	1.6941	757.4117
Perplexity (Llama-3.2-3B-Instruct) (AI)	11,043	15.3748	12.1771	18.1414	1.0586	990.4898
Perplexity (Llama-3.2-3B) (Human)	11,043	14.4906	12.4128	10.3796	1.0484	485.7397
Perplexity (Llama-3.2-3B) (AI)	11,043	12.8463	10.4403	12.8358	1.0502	551.9839
Entropy (Llama-3.2-3B-Instruct) (Human)	11,043	2.6259	2.5882	0.4948	0.4899	7.6310
Entropy (Llama-3.2-3B-Instruct) (AI)	11,043	2.3039	2.3097	0.6394	0.0945	6.7115
Entropy (Llama-3.2-3B) (Human)	11,043	2.5256	2.5162	0.4527	0.0784	5.6794
Entropy (Llama-3.2-3B) (AI)	11,043	2.3627	2.3732	0.5247	0.0607	6.0152
Top-p Outliers (Llama-3.2-3B-Instruct) (Human)	11,043	0.0585	0.0556	0.0171	0.0000	0.1746
Top-p Outliers (Llama-3.2-3B-Instruct) (AI)	11,043	0.0558	0.0538	0.0184	0.0000	0.2000
Top-p Outliers (Llama-3.2-3B) (Human)	11,043	0.0431	0.0426	0.0129	0.0000	0.1304
Top-p Outliers (Llama-3.2-3B) (AI)	11,043	0.0385	0.0381	0.0155	0.0000	0.1667
Top-k Outliers (Llama-3.2-3B-Instruct) (Human)	11,043	0.1076	0.1010	0.0450	0.0000	0.5435
Top-k Outliers (Llama-3.2-3B-Instruct) (AI)	11,043	0.0881	0.0809	0.0522	0.0000	0.5481
Top-k Outliers (Llama-3.2-3B) (Human)	11,043	0.0882	0.0823	0.0405	0.0000	0.4565
Top-k Outliers (Llama-3.2-3B) (AI)	11,043	0.0782	0.0703	0.0479	0.0000	0.5294
FastDetectGPT (Llama-3.2-3B-Instruct) (Human)	11,043	-1.6809	-1.6693	1.6419	-15.3432	25.5512
FastDetectGPT (Llama-3.2-3B-Instruct) (AI)	11,043	-1.6320	-1.6166	1.6742	-15.5276	10.1506
FastDetectGPT (Llama-3.2-3B) (Human)	11,043	-0.1344	-0.1042	1.0496	-6.4372	5.0980
FastDetectGPT (Llama-3.2-3B) (AI)	11,043	0.2291	0.1899	1.5314	-15.9713	10.6377
Binoculars (Human)	11,043	0.8558	0.8638	0.0974	0.0074	1.1340
Binoculars (AI)	11,043	0.8842	0.8839	0.0715	0.0480	1.2209

Correlation Heatmap

Pearson correlation between every statistic of interest, computed over the rows where both statistics are present.

Distance Histograms

Distance Histograms per Prompt Subset

Distance Histograms per Generator Config Subset

Classifier: EditLens Roberta-Large Score

Performance:

Subset	N	AUROC	TPR	FPR	Accuracy	F1
Overall	22,086	0.9039	0.4454	0.0080	0.7187	0.6130
Prompt: direct_reference	6,166	0.9029	0.5420	0.0071	0.7674	0.6997
Prompt: indirect_reference	5,584	0.9101	0.4628	0.0057	0.7285	0.6302
Prompt: revise	6,032	0.9654	0.5020	0.0090	0.7465	0.6645
❗ Prompt: rewrite	4,304	0.8080	0.2054	0.0107	0.5974	0.3378
Model: Llama-4-Scout-17B-16E-Instruct-NVFP4 (Temp: 0.6)	3,066	0.8669	0.3823	0.0072	0.6875	0.5502
✔️ Model: Mixtral-8x7B-Instruct-v0.1 (Temp: 0.7)	3,508	0.9699	0.5792	0.0074	0.7859	0.7301
Model: claude-sonnet-4-5-20250929 (Temp: Unknown)	2,992	0.8969	0.4632	0.0074	0.7279	0.6300
Model: claude-sonnet-5 (Temp: Unknown)	3,120	0.8855	0.3462	0.0090	0.6686	0.5109
Model: gpt-3.5-turbo (Temp: Unknown)	3,032	0.9006	0.4756	0.0073	0.7342	0.6415
Model: gpt-4o (Temp: Unknown)	3,308	0.9484	0.5677	0.0097	0.7790	0.7198
Model: hy3 (Temp: Unknown)	3,060	0.8471	0.2771	0.0078	0.6346	0.4313

Thresholding:

Direction: higher_is_ai
Swept for fpr_0_5pct with a found threshold of 0.5167.

Classification Histograms:

Per Prompt Subset

Per Generator Config Subset