{"id":"W4249370120","doi":"10.1515/iupac.88.0760","title":"Epoxide Hydrolase","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Eicosanoids and Hypertension Pharmacology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Biology; Linguistics; Philosophy","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":[0.001385151,0.001327565,0.001628776,0.003703905,0.0006299297,0.002431763,0.001823129,0.001343033,0.07669127],"category_scores_gemma":[0.008912588,0.0006114312,0.001660475,0.00656069,0.0003315981,0.001782812,0.001792433,0.001871799,0.06709633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000497,"about_ca_system_score_gemma":0.003147303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008984575,"about_ca_topic_score_gemma":0.01651335,"domain_scores_codex":[0.9986098,0.0002260934,0.0003934168,0.0003757795,0.0002638743,0.0001309893],"domain_scores_gemma":[0.9961965,0.001336577,0.0006765651,0.000799757,0.0007977521,0.0001928205],"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":[0.000357743,0.0000291084,0.003654104,0.008046666,0.0001487153,0.00006621374,0.00004955104,0.0003079459,0.000523827,0.001452245,0.9676742,0.01768961],"study_design_scores_gemma":[0.0002530279,0.00002621135,0.007846048,0.001983282,0.0001222042,0.0001326628,0.0000508447,0.0001651151,0.0004466751,0.001429495,0.9875124,0.00003198312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001613309,0.0004130251,0.0001356194,0.00007589805,0.00002357658,0.0000274937,0.9978363,0.0001451335,0.001181613],"genre_scores_gemma":[0.0005567701,0.0005844089,0.0005792677,0.0001320862,0.00001113319,0.0001541864,0.997001,0.00005138938,0.0009297794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07669127,"threshold_uncertainty_score":0.2565579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504474168431166,"score_gpt":0.4284301842314002,"score_spread":0.4133854425470885,"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."}}