{"id":"W4230691960","doi":"10.1515/iupac.79.1734","title":"Operon","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Arts, Culture, and Music Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450047,0.002053936,0.001416222,0.003270244,0.001094639,0.003401865,0.00302487,0.001771305,0.1588364],"category_scores_gemma":[0.01021816,0.000583455,0.001996469,0.005708481,0.0003800318,0.002437026,0.002243283,0.001698313,0.2360704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160465,"about_ca_system_score_gemma":0.002902323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910795,"about_ca_topic_score_gemma":0.03565425,"domain_scores_codex":[0.9977282,0.0004011014,0.0003178921,0.000811064,0.0004693953,0.0002723095],"domain_scores_gemma":[0.9964232,0.0008248403,0.0002782193,0.0010254,0.001177523,0.0002708677],"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":[0.0001111743,0.00002122741,0.001258732,0.000611171,0.00003317099,0.00001821947,0.00002073332,0.0001860762,0.00006819188,0.0007042593,0.9905024,0.006464709],"study_design_scores_gemma":[0.0001504759,0.00001981148,0.002732243,0.0003173627,0.00003043788,0.00005563198,0.00008156124,0.0003067946,0.0001828992,0.00166246,0.9944382,0.00002215757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001487371,0.0000995844,0.000139541,0.00010373,0.00004482016,0.0000260482,0.9969807,0.0005021892,0.001954637],"genre_scores_gemma":[0.0003295832,0.00007419544,0.0003753599,0.0001188526,0.00001020047,0.00009039885,0.997542,0.00008730421,0.001372015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1588364,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915247086004564,"score_gpt":0.4460321636698022,"score_spread":0.4168796928097566,"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."}}