{"id":"W4237977241","doi":"10.1515/iupac.87.0150","title":"Coma","year":2016,"lang":"zh","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Psychology; Engineering ethics; Chemistry; Linguistics; Philosophy; Engineering; Organic chemistry; Data mining","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":[0.001142064,0.001367575,0.001167062,0.002724382,0.0008219327,0.002890198,0.002357201,0.001462465,0.1664462],"category_scores_gemma":[0.009740965,0.0004809003,0.001399116,0.004729384,0.0003341257,0.002241517,0.002181102,0.001430271,0.2096202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00139266,"about_ca_system_score_gemma":0.002400486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170435,"about_ca_topic_score_gemma":0.02235717,"domain_scores_codex":[0.9982644,0.0002886423,0.0002946661,0.0006007251,0.0003350238,0.0002166456],"domain_scores_gemma":[0.9967889,0.000694385,0.000325413,0.0009087608,0.001029718,0.0002528637],"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":[0.0001580817,0.00001770976,0.001584823,0.0008709239,0.00003327831,0.00002494789,0.00002597995,0.0001684605,0.00008083818,0.0008554996,0.9873127,0.008866628],"study_design_scores_gemma":[0.0001603307,0.00002139854,0.003413525,0.0004046025,0.00002513842,0.00006806834,0.00007554027,0.0002685529,0.0002254255,0.001630985,0.9936867,0.00001960282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002120097,0.0001365892,0.0001434557,0.0001437775,0.00005384594,0.00003916714,0.9952803,0.000690257,0.003300639],"genre_scores_gemma":[0.0006757214,0.0001238813,0.0003871507,0.0001709799,0.00001639676,0.000119093,0.9963391,0.00009815489,0.002069441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1664462,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102111736092536,"score_gpt":0.3594014587711569,"score_spread":0.3383803414102315,"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."}}