{"id":"W4256556241","doi":"10.1515/iupac.79.0837","title":"Antipyretic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Antipyretic; Traditional medicine; Pharmacology; Medicine; Analgesic","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":[0.0006687132,0.001221537,0.001676463,0.002053517,0.0004174069,0.001455592,0.001508098,0.001193234,0.08893474],"category_scores_gemma":[0.007945181,0.0003673086,0.001778741,0.003023357,0.0002215754,0.001187407,0.0009171722,0.001333968,0.05175131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008597177,"about_ca_system_score_gemma":0.001778032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00677703,"about_ca_topic_score_gemma":0.0163924,"domain_scores_codex":[0.9990537,0.0001548395,0.0002424887,0.0003121436,0.0001664985,0.00007040209],"domain_scores_gemma":[0.9973736,0.000922721,0.0005838807,0.0004639931,0.0005098738,0.0001459845],"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":[0.001500706,0.00008868029,0.006823245,0.009208901,0.0003349109,0.0001269997,0.00002750244,0.000620361,0.0003144314,0.0009171034,0.9366865,0.04335075],"study_design_scores_gemma":[0.0009365768,0.0001080568,0.01862512,0.002353207,0.0004104645,0.0005569833,0.00004905585,0.0004817678,0.0005301964,0.002508499,0.9733822,0.0000579063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005250371,0.001192458,0.0001958432,0.0001310616,0.00005511135,0.00005533507,0.9943507,0.0002492237,0.003245252],"genre_scores_gemma":[0.003241306,0.001576747,0.0009995892,0.0004799456,0.00005826531,0.0002741349,0.990076,0.0000899048,0.003204142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08893474,"threshold_uncertainty_score":0.2975163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007027580215003368,"score_gpt":0.3658915012218574,"score_spread":0.358863921006854,"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."}}