{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002894953,0.0004086574,0.000411284,0.0000934539,0.00007096209,0.00003541299,0.0005227128,0.0004891318,0.001656904],"category_scores_gemma":[0.0003354028,0.0003163787,0.0001985515,0.00008303859,0.0001872333,0.000001671388,0.0002438884,0.0001687018,0.000005333478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001032035,"about_ca_system_score_gemma":0.0005647173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002587919,"about_ca_topic_score_gemma":0.0002335425,"domain_scores_codex":[0.9979604,0.00007889441,0.0003450407,0.0006393298,0.0005494136,0.0004269136],"domain_scores_gemma":[0.998291,0.00001006406,0.0001665817,0.001118178,0.0002547719,0.0001594187],"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":[0.0001008372,0.00009994656,0.00001607804,0.00006178531,0.00009486318,0.00000905573,0.00000163068,8.050599e-7,0.0008195828,0.000003732296,0.9941601,0.004631609],"study_design_scores_gemma":[0.0008618092,0.0001976383,0.00006632309,0.00007171391,0.00009335192,0.00001164958,0.00000935426,3.391654e-7,0.0007291631,0.00007511506,0.9974375,0.0004459909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000935166,0.005697081,0.0002780515,0.0002304767,0.0009012942,0.0002144141,0.9915867,0.00001343125,0.0001434076],"genre_scores_gemma":[0.00008362452,0.008174806,0.00005052862,0.0005225161,0.001307211,0.0000133621,0.988422,0.00004395833,0.001382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004185618,"threshold_uncertainty_score":0.9999288,"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."}}