PATENT CLAIM ANALYSIS

Application Number: 15975050
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["706", "055000"]

Abstract:
The present disclosure relates to methods, non-transitory computer readable medium, and apparatus consistent with the present disclosure relate to receiving responses to queries from different, alien to one another in form and substance species of intelligence, including human generated responses and responses provided by intelligent machines when identifying differences between the human sentiment based responses and analytical or functional machine based responses. A method consistent with the present disclosure may receive responses to a query from user devices that are associated with users that are humans, to identify a preferred human query response, preferably out of a selected or trained human swarm, from those received human responses, and to receive a response to the query that was generated by an intelligent machine. This method may then identify that the preferred human query response does not match the machine generated query response, and proceed to a better overall result by means of triangulating between them.

Claim (Index 20):
An apparatus for detecting divergence in information streams from at least a first input stream that is alien to at least one other input source, the apparatus comprising:\n a network interface that receives a first set of human input via an information stream via a communication interface, the first set of human input sent from a plurality of user devices in response to a query and including human query responses by users of the user devices, the query associated with forecasting an uncertain future outcome; a memory; and a processor that executes instructions out of the memory to:\n identify a preferred human query response regarding the forecasting of the uncertain future outcome based on an analysis of the human information stream and prevalence of the preferred human query responses among the received human query responses, \n receive a machine-generated query response to the query, the machine-generated query response generated by a computing device based on an information stream separate and distinct from the preferred human query response, \n identify that the preferred human query response is associated with a certainty level that has at least met a statistical threshold, and \n identify that the preferred human query response not match the machine-generated query response to a statistically significant level, based on the preferred human query response being associated with the certainty level that has at least met the statistical threshold.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.93023
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15471838', '15815579', '12951130', '13971959', '10536476']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3704615885887368
- 35 USC 102 Novelty (BERT): 0.4796043231290601
- Combined Prediction Score: 0.3813758620427692
- Mean Citation Score: 166.21808
- Max Citation Score: 186.79666
- Similarity Product: 131.95369079590918

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test