{"id":"W4396850520","doi":"10.1016/j.dmpk.2023.100601","title":"The spectrum of hepatic clearance models, from old to new","year":2024,"lang":"en","type":"article","venue":"Drug Metabolism and Pharmacokinetics","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spectrum (functional analysis); Broad spectrum; Medicine; Computer science; Chemistry; Physics; Combinatorial 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":[0.004237283,0.001201867,0.001503385,0.001082195,0.0002928251,0.003075822,0.001824306,0.001154419,0.001397947],"category_scores_gemma":[0.005055535,0.0003994074,0.001641347,0.0006016802,0.001112161,0.002591741,0.00110453,0.002461805,0.0006610788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433344,"about_ca_system_score_gemma":0.0009417371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009713434,"about_ca_topic_score_gemma":0.001015753,"domain_scores_codex":[0.9983206,0.0007904813,0.000127111,0.0002962864,0.0003567946,0.0001086565],"domain_scores_gemma":[0.9970426,0.00165922,0.0003470187,0.0004959948,0.0002916767,0.0001633867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008706916,0.001901805,0.06047829,0.00442459,0.004475715,0.001873549,0.0006399907,0.1373471,0.0887064,0.1935298,0.03002153,0.4678943],"study_design_scores_gemma":[0.0006631261,0.003105673,0.018782,0.0009226261,0.001417029,0.006585611,0.0002590826,0.6011412,0.06090894,0.2119841,0.09380658,0.0004239011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1781783,0.07627118,0.699885,0.01308878,0.001021019,0.0003305573,0.002243217,0.002135939,0.02684597],"genre_scores_gemma":[0.851477,0.0437173,0.0906922,0.003418027,0.0009894383,0.0004322886,0.002141589,0.000488812,0.00664336],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004237283,"threshold_uncertainty_score":0.02240914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152747692900291,"score_gpt":0.2771671071610854,"score_spread":0.2618923378710563,"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."}}