{"id":"W4255811736","doi":"10.1515/iupac.79.1476","title":"Inducer","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Physics and Engineering Research Articles","field":"Engineering","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":[0.001681758,0.001773072,0.001417954,0.003535364,0.001011672,0.003513237,0.002885955,0.001928043,0.1695167],"category_scores_gemma":[0.01422464,0.0005464603,0.001898735,0.005181863,0.0003755215,0.002508426,0.001997163,0.001800569,0.2255024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680958,"about_ca_system_score_gemma":0.003026648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01446786,"about_ca_topic_score_gemma":0.02599358,"domain_scores_codex":[0.9973984,0.0004359091,0.0003969923,0.0009777611,0.0005014671,0.0002894905],"domain_scores_gemma":[0.9949934,0.001255916,0.0004204749,0.001362214,0.001638305,0.0003297654],"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":[0.0001447807,0.00002684382,0.001750204,0.0008070478,0.00004552136,0.00002180124,0.00001981221,0.0001816151,0.00008024654,0.0007844724,0.9879217,0.008216113],"study_design_scores_gemma":[0.0001917844,0.00002362957,0.00322428,0.0004522786,0.00004443353,0.00007417163,0.00007914844,0.0002777975,0.0002151884,0.001723935,0.9936685,0.0000248283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001731127,0.0001360498,0.0001532363,0.0001210281,0.00006238134,0.00004107374,0.9965537,0.0003510728,0.002408327],"genre_scores_gemma":[0.000488784,0.00009641815,0.0004480246,0.0001835303,0.00001792598,0.0001579942,0.9966455,0.00008044246,0.001881358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1695167,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254960627419834,"score_gpt":0.365975300246924,"score_spread":0.3534256939727257,"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."}}