{"id":"W1916407220","doi":"10.1002/bdd.1934","title":"Dealing with the complex drug–drug interactions: Towards mechanistic models","year":2014,"lang":"en","type":"review","venue":"Biopharmaceutics & Drug Disposition","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Drug; Pharmacokinetics; Pharmacology; Drug metabolism; Disposition; Transporter; Drug development; Medicine; Computational biology; Chemistry; Psychology; Biology","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":[0.003573605,0.002826251,0.002170365,0.001473059,0.0004890959,0.002495349,0.00275015,0.002730433,0.002451233],"category_scores_gemma":[0.005488804,0.0009527063,0.002194196,0.001014558,0.001579662,0.005341371,0.002106529,0.004993767,0.001718041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322328,"about_ca_system_score_gemma":0.002564965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003167999,"about_ca_topic_score_gemma":0.001815411,"domain_scores_codex":[0.998314,0.0007474398,0.000134437,0.0002420849,0.0004765347,0.00008545759],"domain_scores_gemma":[0.9972196,0.001775365,0.0003181924,0.0001709454,0.0004355991,0.00008029375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001178664,0.0003785758,0.002533088,0.006147012,0.0005712768,0.0006885813,0.000394514,0.3890617,0.009528636,0.4566734,0.01779575,0.1161096],"study_design_scores_gemma":[0.00004452939,0.0003607355,0.0007563801,0.001028645,0.0003205034,0.0005218012,0.000177752,0.3653587,0.002943971,0.4693778,0.1590012,0.0001079269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01030532,0.08571241,0.8586677,0.01680663,0.001019491,0.0004737942,0.001567816,0.0006693342,0.0247774],"genre_scores_gemma":[0.2003548,0.3603005,0.4069276,0.0102046,0.00292608,0.002490467,0.004207606,0.0003808061,0.01220759],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003573605,"threshold_uncertainty_score":0.01889926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2209194679510465,"score_gpt":0.4804788298779997,"score_spread":0.2595593619269532,"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."}}