{"id":"W4253451054","doi":"10.1515/iupac.79.1785","title":"Pharmaceutical","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pharmaceutical studies and practices","field":"Medicine","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":[0.001229164,0.001687379,0.001351213,0.003707848,0.0007907331,0.003302766,0.002361068,0.001617494,0.1356033],"category_scores_gemma":[0.00960321,0.0005343151,0.001942662,0.006448387,0.0003113945,0.001902623,0.001690804,0.001797045,0.176444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746039,"about_ca_system_score_gemma":0.003102262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01742649,"about_ca_topic_score_gemma":0.03008355,"domain_scores_codex":[0.998116,0.0002899152,0.0003499821,0.0005626287,0.0005083684,0.0001731286],"domain_scores_gemma":[0.9961172,0.0009287763,0.0006783382,0.0008437637,0.001159998,0.0002718848],"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":[0.0001732631,0.00002751751,0.001566342,0.001785048,0.0000616342,0.00002281381,0.00001821566,0.0001916909,0.0001068527,0.00079721,0.9830108,0.01223872],"study_design_scores_gemma":[0.0001673573,0.00001948833,0.003963032,0.0005624217,0.0000492445,0.00005999571,0.00003695563,0.0001840834,0.0001668286,0.0008374691,0.9939358,0.00001733143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001217381,0.0002193491,0.00008163198,0.00008746314,0.00002792668,0.00001963232,0.997139,0.0002107736,0.002092509],"genre_scores_gemma":[0.0004369967,0.0002420645,0.0003473967,0.000140055,0.00001385228,0.00007481735,0.9968873,0.00005839804,0.001799183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1356033,"threshold_uncertainty_score":0.4536381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06662407115309771,"score_gpt":0.5363999356504291,"score_spread":0.4697758644973314,"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."}}