{"id":"W4393609385","doi":"10.5281/zenodo.6395308","title":"patccat: A classifier for patent claims","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Classifier (UML); Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004904338,0.001696883,0.001468477,0.01538223,0.0009972212,0.003198109,0.003031894,0.002993723,0.02693967],"category_scores_gemma":[0.04192108,0.0007098328,0.002447774,0.008076965,0.0005609345,0.004140711,0.002234078,0.002615725,0.03336162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913679,"about_ca_system_score_gemma":0.002954542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005211118,"about_ca_topic_score_gemma":0.004431093,"domain_scores_codex":[0.9939064,0.0006769535,0.0008972753,0.001362132,0.002743022,0.0004141708],"domain_scores_gemma":[0.9774236,0.01148961,0.001739606,0.003870541,0.004661224,0.0008154375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006897745,0.000355921,0.02000072,0.001221009,0.00015073,0.000317417,0.0001297841,0.006966515,0.002057928,0.003614053,0.7812668,0.1832292],"study_design_scores_gemma":[0.0007977464,0.0007007897,0.04536463,0.0007607378,0.0002289964,0.001598507,0.0004049401,0.3611267,0.0264539,0.02938048,0.5329068,0.000275832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02306443,0.0008024175,0.05629949,0.001740101,0.0006571915,0.001668216,0.8235098,0.08435425,0.007904001],"genre_scores_gemma":[0.05144643,0.0003457185,0.1072063,0.0004656324,0.0003370144,0.002849102,0.8285563,0.002247363,0.006546164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02693967,"threshold_uncertainty_score":0.09012216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2236787735041636,"score_gpt":0.2419190717188506,"score_spread":0.01824029821468706,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}