{"id":"W2473994854","doi":"10.1124/dmd.116.069542","title":"Metabolite Kinetics: The Segregated Flow Model for Intestinal and Whole Body Physiologically Based Pharmacokinetic Modeling to Describe Intestinal and Hepatic Glucuronidation of Morphine in Rats In Vivo","year":2016,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Berberine and alkaloids research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Glucuronidation; Metabolite; Pharmacokinetics; In vivo; Pharmacology; Chemistry; Kinetics; Morphine; Physiologically based pharmacokinetic modelling; In vitro; Biology; Biochemistry; Microsome","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003965865,0.0009048894,0.0008783771,0.0003003957,0.0002881544,0.0007451859,0.001142341,0.001072756,0.001339055],"category_scores_gemma":[0.0007765627,0.0003950122,0.00124328,0.0003772822,0.0002408504,0.0007898212,0.0003780934,0.0008935218,0.0006736575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006495995,"about_ca_system_score_gemma":0.001176044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009345436,"about_ca_topic_score_gemma":0.004476907,"domain_scores_codex":[0.9998739,0.00004300723,0.000007112586,0.00002961608,0.00002707408,0.00001922229],"domain_scores_gemma":[0.9998701,0.00005108657,0.00002262633,0.000008457213,0.00003898697,0.000008807187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002628404,0.00008809088,0.001068985,0.0001863192,0.0001471823,0.0002324804,0.00008346467,0.9480004,0.0214982,0.009809197,0.001416417,0.0172064],"study_design_scores_gemma":[0.000008792799,0.00002629904,0.0001458046,0.000003618144,0.00002320419,0.000031804,0.000002778856,0.9978636,0.0008759911,0.0004476579,0.0005648733,0.000005529295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07223243,0.001147439,0.9192662,0.0004227152,0.00008848743,0.0001700105,0.0006001454,0.0005692025,0.005503277],"genre_scores_gemma":[0.8962555,0.001923424,0.08018927,0.0003768445,0.00008915325,0.0007171824,0.0009208023,0.0004401271,0.0190877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009345436,"threshold_uncertainty_score":0.01858211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383473944201824,"score_gpt":0.29091448395685,"score_spread":0.2670797445148318,"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."}}