Datasets:

G-reen
/

fastdetector-test-stat-test

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_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
Welcome to the online home of the National Center for Arts Research, where data-driven insights help advance the arts in the U.S. It all began on February 13, 2012, when SMU’s Meadows School of the Arts and Cox School of Business hosted a public forum with the Cultural Data Project (CDP) and the national arts marketing...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nCreate a prompt that would allow an LLM to generate this text as accurately/verbatim as possible, without the prompt containing any of the actual text. That is, you must use descriptors to accurately describe the text to generate.\nDo not output anything besi...	Art & Design	About (Org.)	Write a polished seven-paragraph welcome statement for the newly launched online home of a U.S. national arts research center based at Southern Methodist University. Reconstruct the source wording as closely as possible. Include these details in order: 1. Open by welcoming readers and state that data-driven insights ...	Welcome to the newly launched online home of the National Center for Arts Research at Southern Methodist University. We believe data-driven insights will help advance the arts nationwide. Our initiative began on February 13, 2012, with a public forum jointly hosted by SMU’s Meadows School of the Arts and Cox School of...	gpt-5.6-sol	{"reasoning_effort": "none"}	Welcome to the newly launched online home of the National Center for Arts Research at Southern Methodist University. We believe data-driven insights will help advance the arts nationwide. Our initiative began on February 13, 2012, with a public forum jointly hosted by SMU’s Meadows School of the Arts and Cox School of ...	0.54023	0.779956	824	0.271637	0.028756	0.095189	0.089647	0.092427	0.43229	-7.75	12.583448	2.566656	0.050938	0.067024	0.309212	9.924471	2.389306	0.042895	0.053619	0.900116	14.498236	2.789064	0.052174	0.084058	0.977449	10.330088	2.470964	0.043478	0.063768	1.25073	0.796701	0.742512	0.014681	0	0.200267	0.005375	0	0.035778	0.003304	0	0.006373	0.001178	0	0.005134
“Doing what you love is a fight – an ongoing battle against every influence that wants you to conform. There is no solace in the conformity, only a blurred view of what you set out to be. Spend your life creating something. Betray The Institution.” This manifesto of mine adorns every package that ships out of Dark Coll...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nEdit this text by upgrading the verbs to be more dynamic and action-oriented, leaving the subjects, objects, and overall length completely unchanged.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do...	Art & Design	About (Pers.)	“Pursuing what you love demands a fight – an ongoing battle against every influence that pressures you to conform. Conformity offers no solace, only a blurred view of what you set out to become. Devote your life to creating something. Defy The Institution.” This manifesto of mine graces every package that ships out of...	Every piece I create carries a story of independence, identity, and an unrelenting commitment to making art on my own terms. “Pursuing what you love demands a fight – an ongoing battle against every influence that pressures you to conform. Conformity offers no solace, only a blurred view of what you set out to become....	gpt-5.6-sol	{"reasoning_effort": "none"}	Every piece I create carries a story of independence, identity, and an unrelenting commitment to making art on my own terms. “Pursuing what you love demands a fight – an ongoing battle against every influence that pressures you to conform. Conformity offers no solace, only a blurred view of what you set out to become. ...	0.351429	0.466338	546	0.184441	0.026116	0.061355	0.042402	0.051973	0.313163	-9.125	15.248926	2.685937	0.048544	0.092233	-0.448498	12.712022	2.562055	0.042071	0.079288	0.22844	19.724715	3.052818	0.041074	0.126382	0.798662	17.344069	2.692009	0.047393	0.118483	-1.872013	0.861043	0.851551	0.010218	0	0.022724	0.008564	0	0.18764	0.003678	0	0.004162	0.001198	0	0.015595
ATO RIBEIRO: Home Coming November 3 - December 10, 2017 Anastasia Tinari Projects is thrilled to present Home Coming, Ato Ribeiro's first U.S. solo exhibition. With extreme precision and craftsmanship, the artist creates intricately detailed, complex patterned “wooden kente cloths” using humble pieces of pine, ebony, a...	{ "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." ], ...	Art & Design	About (Pers.)	ATO RIBEIRO: Home Coming November 3–December 10, 2017 Anastasia Tinari Projects is thrilled to present Home Coming, Ato Ribeiro’s first U.S. solo exhibition. With extraordinary precision and craftsmanship, Ribeiro creates intricately detailed, complexly patterned “wooden kente cloths” from humble pieces of pine, ebo...		gpt-5.6-sol	{"reasoning_effort": "none"}	ATO RIBEIRO: Home Coming November 3–December 10, 2017 Anastasia Tinari Projects is thrilled to present Home Coming, Ato Ribeiro’s first U.S. solo exhibition. With extraordinary precision and craftsmanship, Ribeiro creates intricately detailed, complexly patterned “wooden kente cloths” from humble pieces of pine, ebony,...	0.692246	0.794273	10,073	0.656403	0.056657	0.14538	0.071443	0.109944	0.567095	-8.3125	13.870806	2.800173	0.039451	0.114065	2.525136	10.529681	2.370141	0.037736	0.102058	0.251073	14.274308	2.661651	0.040691	0.113072	0.078524	11.017943	2.464129	0.028088	0.092906	1.647565	0.752953	0.804858	0.048313	1	0.333973	0.060326	1	0.405797	0.001567	0	0.016601	0.002011	0	0.003339
Philip Jay O’Meilia was born in 1927 in Tulsa, Oklahoma, where he resides today. Between military stints during WWII and Korea (serving as a Navy artist), he attended the Art Students League in New York (1945-46, 1947-49) and the Chicago Academy of Fine Art (1946-47). He also attended the Cape School of Art in Province...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a new piece of text that uses this text as a citation or reference.\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.\nThe f...	Art & Design	About (Pers.)	Philip Jay O’Meilia’s career illustrates how artistic versatility can unite fine art, public design, and popular culture. Born in Tulsa, Oklahoma, in 1927, O’Meilia developed his skills through study at institutions including the Art Students League in New York, the Chicago Academy of Fine Art, and the Cape School of A...		gpt-5.6-sol	{"reasoning_effort": "none"}	Philip Jay O’Meilia’s career illustrates how artistic versatility can unite fine art, public design, and popular culture. Born in Tulsa, Oklahoma, in 1927, O’Meilia developed his skills through study at institutions including the Art Students League in New York, the Chicago Academy of Fine Art, and the Cape School of A...	0.748503	0.884112	1,603	0.601151	0.118197	0.130861	0.135159	0.133015	0.556739	-5.0625	7.833371	2.060283	0.05423	0.05423	0.0201	6.296499	1.961206	0.036876	0.05423	1.361784	12.064904	2.43965	0.036408	0.09466	-0.4929	10.380865	2.38512	0.021845	0.097087	0.447314	0.794076	0.845316	0.116582	3	0.996982	0.058427	3	0.815417	0.004645	3	0.968174	0.011922	3	0.916431
I’m a Hobby/Amateur Photographer, and started taking photo’s when I was around 11 years old and a member of the school Camera Club. Due to a major change in lifestyle and responsibilities I was forced to sideline my hobby. Now things have changed, I am taking the time to reignite my passion as I find photography very r...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nExpand this text by adding backstory and context to enrich understanding.\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." ], ...	Art & Design	About (Pers.)	I’m a hobby and amateur photographer, and my interest in photography began when I was around 11 years old. At the time, I joined my school Camera Club, where I first experienced the excitement of capturing a moment and turning an everyday scene into something worth remembering. Those early years gave me an appreciation...		gpt-5.6-sol	{"reasoning_effort": "none"}	I’m a hobby and amateur photographer, and my interest in photography began when I was around 11 years old. At the time, I joined my school Camera Club, where I first experienced the excitement of capturing a moment and turning an everyday scene into something worth remembering. Those early years gave me an appreciation...	0.788177	0.917424	5,272	0.855498	0.136121	0.187424	0.107837	0.149488	0.625453	-5.25	21.514899	2.599877	0.079412	0.094118	-3.925525	15.482302	2.680543	0.058824	0.064706	-0.503429	7.619148	1.842843	0.053435	0.031298	-3.922254	6.372927	1.918736	0.024427	0.026718	1.384051	0.929534	0.880026	0.011468	1	0.377059	0.038945	1	0.406773	0.026761	2	0.580025	0.025231	1	0.433484
My name is Kanika Marshall and my goal is to share the strength and majesty of ancient cultures via beautiful, spiritual sculptures and clay pottery that I hand-sculpt in my private art studio near Sacramento, California. I am most inspired by artwork that uses the interplay of various media to show the connection betw...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a detailed rebuttal or critique challenging the core ideas, themes, or facts presented in this text, using the same language and roughly matching the intellectual level of the text.\nOutput the full new text with no extra statements or commentations.\nB...	Art & Design	About (Pers.)	My name is Kanika Marshall, and while my sculptures and pottery are deeply personal, I recognize that presenting them as expressions of ancient cultures raises difficult questions about identity, history, and artistic authority. Beauty and spiritual feeling alone do not necessarily communicate the strength or majesty o...		gpt-5.6-sol	{"reasoning_effort": "none"}	My name is Kanika Marshall, and while my sculptures and pottery are deeply personal, I recognize that presenting them as expressions of ancient cultures raises difficult questions about identity, history, and artistic authority. Beauty and spiritual feeling alone do not necessarily communicate the strength or majesty o...	0.829233	0.9348	5,039	0.913208	0.21951	0.193199	0.148277	0.171347	0.649664	-4.8125	22.833186	2.962651	0.057569	0.138593	-1.578282	17.223014	2.825121	0.03838	0.100213	-0.206743	18.629657	2.689601	0.057803	0.113955	-3.870424	14.873047	2.716568	0.033031	0.100743	0.281721	0.873084	0.905527	0.016615	3	0.990635	0.046057	3	0.792906	0.004805	2	0.711718	0.006278	1	0.609294
Hello and welcome to my website. My name's Lee Bofkin and I'm passionate about many things. On this page you'll find some clips of me bboying (breakdancing), interviewing bboys and running around London in a gorilla suit. I also photograph graffiti, write for Sense Magazine in LA and produce original designs and artwor...	{ "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...	Art & Design	About (Pers.)	Hello and welcome to my website. My name's Lee Bofkin and I'm passionate about many things. Here you can explore clips of me bboying (breakdancing), interviewing fellow bboys, and running around London in a gorilla suit. I also photograph graffiti, create original artwork and designs, and write for Sense Magazine in LA...	Hello and welcome to my art and design website. My name's Lee Bofkin and I'm passionate about many things. Here you can explore clips of me bboying (breakdancing), interviewing fellow bboys, and running around London in a gorilla suit. I also photograph graffiti, create original artwork, illustrations, and graphic desi...	gpt-5.6-sol	{"reasoning_effort": "none"}	Hello and welcome to my art and design website. My name's Lee Bofkin and I'm passionate about many things. Here you can explore clips of me bboying (breakdancing), interviewing fellow bboys, and running around London in a gorilla suit. I also photograph graffiti, create original artwork, illustrations, and graphic desi...	0.459259	0.592326	738	0.500893	0.112676	0.080704	0.060946	0.07093	0.375629	-6.6875	19.75513	2.776061	0.068421	0.115789	-1.784081	14.874791	2.665096	0.044737	0.105263	-0.30562	19.207579	2.917459	0.056075	0.121495	-0.341515	15.378051	2.660919	0.03972	0.11215	-0.680146	0.865098	0.843831	0.030599	0	0.132924	0.042537	0	0.112466	0.020576	0	0.074182	0.010713	0	0.037751
New research by WIPO shows that a wide range of factors, and not income alone, motivates creators to engage in creative activity and explores what this means for copyright policy and public funding of the arts. Legal scholars worry about the increasing disconnect between the formal exercise of rights conferred by copyr...	{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nTranslate the given text to French.\nDo not output anything besides what you were requested to write, and do not output any extra commentary.", "{{RESP_0}}\nTranslate this text to English. Output only the English translation with no extra commentary.\nBeg...	Art & Design	Academic Writing	De nouvelles recherches menées par l’OMPI montrent qu’un large éventail de facteurs, et non le seul revenu, incitent les créateurs à se livrer à une activité créative, et examinent ce que cela implique pour la politique du droit d’auteur et le financement public des arts. Les juristes s’inquiètent du décalage croissan...	New research conducted by WIPO shows that a wide range of factors—not income alone—motivate creators to engage in creative activity, and examines what this means for copyright policy and public funding of the arts. Legal scholars are concerned about the growing disconnect between the formal exercise of rights granted ...	gpt-5.6-sol	{"reasoning_effort": "none"}	New research conducted by WIPO shows that a wide range of factors—not income alone—motivate creators to engage in creative activity, and examines what this means for copyright policy and public funding of the arts. Legal scholars are concerned about the growing disconnect between the formal exercise of rights granted b...	0.499405	0.702902	2,888	0.187752	0.008984	0.082811	0.080013	0.081414	0.401011	-8.4375	15.575469	2.77249	0.042668	0.103966	0.496506	12.484473	2.519773	0.041466	0.079327	-0.094079	13.147042	2.427918	0.052858	0.081131	-2.87393	10.373319	2.359669	0.038107	0.067609	0.421861	0.838169	0.879506	0.039043	1	0.367545	0.059691	1	0.345466	0.003731	0	0.006362	0.001983	0	0.031909
"Today we share with you an interview with Scott Riley a user experience designer who has a focus on(...TRUNCATED)	{"chat_turns":["<document>\n{{DOC}}\n</document>\n\nWrite a 'few-shot' prompt using minimal, fragmen(...TRUNCATED)	Art & Design	Audio Transcript	"Continue the interview article from the sparse examples below. Match its informal, candid tone, fir(...TRUNCATED)	"Scott Riley is a user experience designer with a particular fondness for interaction design, though(...TRUNCATED)	gpt-5.6-sol	{"reasoning_effort": "none"}	"Scott Riley is a user experience designer with a particular fondness for interaction design, though(...TRUNCATED)	0.798921	0.934211	8,000	0.923588	0.078816	0.173281	0.148423	0.161036	0.616532	-7.25	17.236032	2.835266	0.038228	0.109223	-0.212346	13.120511	2.564277	0.041262	0.087985	-0.190752	17.033708	2.683017	0.057182	0.114822	-3.267473	13.414453	2.594954	0.039799	0.095608	-0.030293	0.813381	0.854064	0.0135	1	0.261806	0.04149	0	0.433327	0.00395	0	0.016069	0.002582	0	0.034501
"Godfather - you are brilliant! I put the original foot back on and it had slightly shorter screws a(...TRUNCATED)	{"chat_turns":["<document>\n{{DOC}}\n</document>\n\nWrite a piece of text in the same style and lang(...TRUNCATED)	Art & Design	Comment Section	"Godfather - you are impossible! I swapped the original frame back in and the shorter clips made no (...TRUNCATED)		gpt-5.6-sol	{"reasoning_effort": "none"}	"Godfather - you are impossible! I swapped the original frame back in and the shorter clips made no (...TRUNCATED)	0.70696	0.835391	888	0.933019	0.455946	0.133816	0.153615	0.14383	0.554169	-4.375	32.651003	3.357692	0.044041	0.145078	-0.984921	21.471686	3.019011	0.03886	0.121762	-0.403733	41.428235	3.304927	0.065831	0.172414	-3.123976	33.335624	3.20077	0.065831	0.169279	-2.372993	0.789944	0.951208	0.013444	0	0.0347	0.014646	0	0.237893	0.006358	0	0.019248	0.004645	0	0.089704

End of preview. Expand in Data Studio

Auto-Generated FastDetector Dataset

Dataset: G-reen/fastdetector-test-stat-test
Globals Config: config/globals_test.toml
Analysis Config: config/analysis.toml
Rows: 13,622

Evaluation Results

Prompt Subsets: 4 (direct_reference, indirect_reference, revise, rewrite)
Generator Configs: 10 (claude-opus-4-5-20251101 (Temp: Unknown), claude-opus-5 (Temp: Unknown), gemini-3.1-pro-preview (Temp: Unknown), gemini-3.8-flash (Temp: Unknown), gpt-5.4 (Temp: Unknown), gpt-5.6-sol (Temp: Unknown), grok-4.3 (Temp: Unknown), kimi-k3 (Temp: Unknown), minimax-m3 (Temp: Unknown), qwen3.7-max (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: 12,259 / 1,363 (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 0.9442. The hardest prompt subset was rewrite with a TPR of 0.0962, and the hardest generator config was claude-opus-5 (Temp: Unknown) with a TPR of 0.1190.

Classifier	Threshold	AUROC	TPR	FPR	Accuracy	F1
✔️ EditLens Giga Llama-3.2-3B Score	0.1014	0.9442	0.6413	0.0033	0.8190	0.7799
EditLens Llama-3.2-3B Score	0.2389	0.9214	0.6163	0.0057	0.8053	0.7599
EditLens Giga RoBERTa-Large Score	0.1910	0.9107	0.5930	0.0041	0.7944	0.7426
EditLens Roberta-Large Score	0.4747	0.8930	0.3411	0.0031	0.6690	0.5076
EditLens Llama-3.2-3B Bucket	0.0000	0.8135	0.6297	0.0037	0.8130	0.7710
EditLens Giga RoBERTa-Large Bucket	0.0000	0.7925	0.5881	0.0043	0.7919	0.7386
EditLens Roberta-Large Bucket	0.0000	0.7832	0.5945	0.0370	0.7788	0.7288
EditLens Giga Llama-3.2-3B Bucket	0.0000	0.7770	0.5544	0.0004	0.7770	0.7131
Binoculars	0.9673	0.6201	0.0448	0.0033	0.5208	0.0855
Top-p Outliers (Llama-3.2-3B)	0.0201	0.5801	0.0400	0.0049	0.5175	0.0765
Entropy (Llama-3.2-3B-Instruct)	1.4637	0.5397	0.0188	0.0090	0.5049	0.0365
Perplexity (Llama-3.2-3B-Instruct)	4.7220	0.5270	0.0115	0.0060	0.5028	0.0226
Top-k Outliers (Llama-3.2-3B-Instruct)	0.0295	0.5132	0.0221	0.0080	0.5071	0.0429
Top-p Outliers (Llama-3.2-3B-Instruct)	0.0312	0.5009	0.0197	0.0077	0.5060	0.0384
Perplexity (Llama-3.2-3B)	3.9421	0.4860	0.0096	0.0100	0.4998	0.0189
FastDetectGPT (Llama-3.2-3B-Instruct)	3.2271	0.4790	0.0067	0.0039	0.5014	0.0132
Top-k Outliers (Llama-3.2-3B)	0.0183	0.4788	0.0109	0.0073	0.5018	0.0215
Entropy (Llama-3.2-3B)	1.4228	0.4720	0.0093	0.0114	0.4989	0.0182
❗ FastDetectGPT (Llama-3.2-3B)	-2.8000	0.4520	0.0235	0.0079	0.5078	0.0456

Classifier metrics averaged within each prompt and generator subset:

Subset	Average AUROC	Average TPR	Average FPR	Average Accuracy	Average F1
✔️ Model: claude-opus-4-5-20251101 (Temp: Unknown)	0.6982	0.2979	0.0082	0.6449	0.3643
Prompt: revise	0.6926	0.3212	0.0081	0.6565	0.3702
Model: minimax-m3 (Temp: Unknown)	0.6906	0.2667	0.0072	0.6298	0.3412
Model: kimi-k3 (Temp: Unknown)	0.6801	0.2808	0.0073	0.6367	0.3540
Prompt: indirect_reference	0.6647	0.2265	0.0066	0.6100	0.3057
Model: gpt-5.6-sol (Temp: Unknown)	0.6600	0.2037	0.0074	0.5982	0.2783
Prompt: direct_reference	0.6595	0.2850	0.0079	0.6385	0.3545
Model: qwen3.7-max (Temp: Unknown)	0.6560	0.3065	0.0081	0.6492	0.3644
Model: gemini-3.8-flash (Temp: Unknown)	0.6551	0.3126	0.0068	0.6529	0.3716
Model: gpt-5.4 (Temp: Unknown)	0.6499	0.1818	0.0082	0.5868	0.2566
Model: gemini-3.1-pro-preview (Temp: Unknown)	0.6447	0.2638	0.0070	0.6284	0.3312
Model: grok-4.3 (Temp: Unknown)	0.6395	0.2763	0.0069	0.6347	0.3443
Model: claude-opus-5 (Temp: Unknown)	0.5963	0.1190	0.0071	0.5560	0.1856
❗ Prompt: rewrite	0.5719	0.0962	0.0067	0.5448	0.1583

✔️ 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 12,259-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	12,259	0.6431	0.7214	0.2317	0.0000	1.0000
jaccard_2	12,259	0.7701	0.8807	0.2459	0.0210	1.0000
levenshtein	12,259	2396.6086	1768.0000	2580.4291	35.0000	79984.0000
softngram	12,259	0.6053	0.6833	0.3236	0.0000	1.0000
cosdist	12,259	0.1819	0.1104	0.1830	-0.0061	0.9648
bertscore	12,259	0.1333	0.1400	0.0657	0.0029	0.7966
bertscore_precision	12,259	0.1321	0.1389	0.0640	0.0016	0.7497
bertscore_recall	12,259	0.1335	0.1394	0.0726	0.0009	0.8287
moverscore	12,259	0.5332	0.5763	0.1664	0.0848	1.3348
reranker	12,259	-5.5643	-7.0625	4.2713	-10.9375	17.1250
EditLens Roberta-Large Score (Human)	12,259	0.0460	0.0204	0.0712	0.0064	0.9838
EditLens Roberta-Large Score (AI)	12,259	0.4073	0.3141	0.3418	0.0064	0.9996
EditLens Roberta-Large Bucket (Human)	12,259	0.0407	0.0000	0.2243	0.0000	3.0000
EditLens Roberta-Large Bucket (AI)	12,259	1.1242	1.0000	1.2018	0.0000	3.0000
EditLens Llama-3.2-3B Score (Human)	12,259	0.0300	0.0159	0.0405	0.0003	0.4905
EditLens Llama-3.2-3B Score (AI)	12,259	0.3888	0.3434	0.3077	0.0004	1.0000
EditLens Llama-3.2-3B Bucket (Human)	12,259	0.0037	0.0000	0.0605	0.0000	1.0000
EditLens Llama-3.2-3B Bucket (AI)	12,259	1.0624	1.0000	1.0805	0.0000	3.0000
EditLens Giga RoBERTa-Large Score (Human)	12,259	0.0085	0.0039	0.0253	0.0013	0.6720
EditLens Giga RoBERTa-Large Score (AI)	12,259	0.4379	0.3448	0.4006	0.0014	1.0000
EditLens Giga RoBERTa-Large Bucket (Human)	12,259	0.0055	0.0000	0.0941	0.0000	3.0000
EditLens Giga RoBERTa-Large Bucket (AI)	12,259	1.2825	1.0000	1.2837	0.0000	3.0000
EditLens Giga Llama-3.2-3B Score (Human)	12,259	0.0050	0.0027	0.0114	0.0005	0.1835
EditLens Giga Llama-3.2-3B Score (AI)	12,259	0.3764	0.2672	0.3664	0.0006	1.0000
EditLens Giga Llama-3.2-3B Bucket (Human)	12,259	0.0004	0.0000	0.0202	0.0000	1.0000
EditLens Giga Llama-3.2-3B Bucket (AI)	12,259	1.0892	1.0000	1.2076	0.0000	3.0000
Perplexity (Llama-3.2-3B-Instruct) (Human)	12,259	15.7390	14.0895	7.0593	2.9954	65.3062
Perplexity (Llama-3.2-3B-Instruct) (AI)	12,259	15.6716	13.7293	11.8022	1.0071	537.9031
Perplexity (Llama-3.2-3B) (Human)	12,259	11.9412	10.9053	4.9894	1.2068	47.0632
Perplexity (Llama-3.2-3B) (AI)	12,259	12.6835	11.2033	9.6719	1.0034	612.3403
Entropy (Llama-3.2-3B-Instruct) (Human)	12,259	2.5079	2.4940	0.4341	1.0731	4.2297
Entropy (Llama-3.2-3B-Instruct) (AI)	12,259	2.4476	2.4369	0.4937	0.0365	7.1878
Entropy (Llama-3.2-3B) (Human)	12,259	2.3870	2.3884	0.3813	0.2294	3.7963
Entropy (Llama-3.2-3B) (AI)	12,259	2.4282	2.4268	0.3990	0.0100	5.5116
Top-p Outliers (Llama-3.2-3B-Instruct) (Human)	12,259	0.0552	0.0539	0.0120	0.0215	0.1231
Top-p Outliers (Llama-3.2-3B-Instruct) (AI)	12,259	0.0555	0.0540	0.0144	0.0000	0.2000
Top-p Outliers (Llama-3.2-3B) (Human)	12,259	0.0422	0.0418	0.0094	0.0064	0.0796
Top-p Outliers (Llama-3.2-3B) (AI)	12,259	0.0396	0.0390	0.0120	0.0000	0.1818
Top-k Outliers (Llama-3.2-3B-Instruct) (Human)	12,259	0.0967	0.0922	0.0348	0.0064	0.2630
Top-k Outliers (Llama-3.2-3B-Instruct) (AI)	12,259	0.0962	0.0918	0.0415	0.0001	0.5000
Top-k Outliers (Llama-3.2-3B) (Human)	12,259	0.0784	0.0743	0.0308	0.0039	0.2192
Top-k Outliers (Llama-3.2-3B) (AI)	12,259	0.0824	0.0773	0.0380	0.0001	0.5000
FastDetectGPT (Llama-3.2-3B-Instruct) (Human)	12,259	-1.8409	-1.7987	1.6619	-10.5708	5.9897
FastDetectGPT (Llama-3.2-3B-Instruct) (AI)	12,259	-1.9475	-1.9468	1.9309	-14.4647	56.7824
FastDetectGPT (Llama-3.2-3B) (Human)	12,259	-0.1500	-0.1090	1.0304	-5.8795	2.7665
FastDetectGPT (Llama-3.2-3B) (AI)	12,259	0.1333	0.0632	1.5958	-10.4853	13.9080
Binoculars (Human)	12,259	0.8468	0.8545	0.0696	0.0379	1.0063
Binoculars (AI)	12,259	0.8720	0.8717	0.0616	0.0355	1.2666

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	24,518	0.8930	0.3411	0.0031	0.6690	0.5076
Prompt: direct_reference	7,190	0.8926	0.4423	0.0033	0.7195	0.6119
Prompt: indirect_reference	6,488	0.8992	0.3055	0.0028	0.6514	0.4670
✔️ Prompt: revise	7,114	0.9682	0.4150	0.0037	0.7057	0.5850
❗ Prompt: rewrite	3,726	0.7432	0.0671	0.0021	0.5325	0.1255
Model: claude-opus-4-5-20251101 (Temp: Unknown)	2,518	0.9212	0.4551	0.0040	0.7256	0.6238
Model: claude-opus-5 (Temp: Unknown)	2,440	0.8221	0.0877	0.0025	0.5426	0.1609
Model: gemini-3.1-pro-preview (Temp: Unknown)	2,524	0.8992	0.3645	0.0040	0.6803	0.5327
Model: gemini-3.8-flash (Temp: Unknown)	2,554	0.9385	0.5098	0.0023	0.7537	0.6743
Model: gpt-5.4 (Temp: Unknown)	2,404	0.8517	0.1839	0.0042	0.5899	0.3095
Model: gpt-5.6-sol (Temp: Unknown)	2,512	0.8890	0.1951	0.0024	0.5963	0.3258
Model: grok-4.3 (Temp: Unknown)	2,268	0.8902	0.4065	0.0035	0.7015	0.5766
Model: kimi-k3 (Temp: Unknown)	2,360	0.9101	0.3695	0.0025	0.6835	0.5386
Model: minimax-m3 (Temp: Unknown)	2,376	0.8879	0.3367	0.0017	0.6675	0.5031
Model: qwen3.7-max (Temp: Unknown)	2,562	0.9187	0.4902	0.0039	0.7432	0.6562

Thresholding:

Direction: higher_is_ai
Swept for fpr_0_5pct with a found threshold of 0.4747.

Classification Histograms:

Per Prompt Subset

Per Generator Config Subset