{"id":"W4205970496","doi":"10.18433/jpps32488","title":"Piecing together human adult comparative pharmacokinetic trials and rodent studies: What happens to drug clearance in obesity?","year":2022,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pharmacokinetics; Obesity; Medicine; Lean body mass; Human obesity; Body weight; Drug; Internal medicine; Physiology; Endocrinology; Body mass index; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2877822,0.0009194643,0.006989392,0.002139175,0.0006233957,0.004872927,0.00305317,0.004398922,0.001807449],"category_scores_gemma":[0.2835297,0.0009079129,0.003853805,0.00411651,0.004888937,0.008176684,0.001934021,0.004039171,0.000613094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682739,"about_ca_system_score_gemma":0.00463413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009143958,"about_ca_topic_score_gemma":0.001935008,"domain_scores_codex":[0.8250882,0.1361064,0.01871338,0.005061423,0.01387999,0.00115068],"domain_scores_gemma":[0.5455022,0.3558169,0.05168835,0.01990591,0.02482738,0.002259198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02465173,0.001216998,0.02934075,0.1133182,0.03985588,0.0009093976,0.002897764,0.001573773,0.01004161,0.0223508,0.03604738,0.7177957],"study_design_scores_gemma":[0.01283584,0.09276596,0.07857078,0.09833614,0.06521346,0.005090069,0.003732429,0.003019976,0.01730143,0.06607722,0.5559188,0.001137989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01662468,0.9213362,0.02327804,0.02638687,0.006311553,0.001166206,0.0006435433,0.0001543957,0.004098415],"genre_scores_gemma":[0.211227,0.5834644,0.1013946,0.08169328,0.01443436,0.003531486,0.001415703,0.0005290608,0.002310219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2877822,"threshold_uncertainty_score":0.8782914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4032262380500848,"score_gpt":0.5733060068859377,"score_spread":0.1700797688358529,"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."}}