{"id":"W3015147963","doi":"10.3390/pharmaceutics12040312","title":"The Segregated Intestinal Flow Model (SFM) for Drug Absorption and Drug Metabolism: Implications on Intestinal and Liver Metabolism and Drug–Drug Interactions","year":2020,"lang":"en","type":"review","venue":"Pharmaceutics","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Drug metabolism; Drug; Metabolism; Pharmacology; Pharmacokinetics; Small intestine; Chemistry; First pass effect; Bioavailability; CYP3A4; Absorption (acoustics); Biology; Cytochrome P450; Biochemistry","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":[0.0007568359,0.001181654,0.001030029,0.0007138753,0.0002468854,0.0007096356,0.001193878,0.001210802,0.001574563],"category_scores_gemma":[0.001580315,0.0003427589,0.001413479,0.0005253888,0.0004609845,0.001516289,0.0005030202,0.000849024,0.0004436811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171063,"about_ca_system_score_gemma":0.0009894101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003641081,"about_ca_topic_score_gemma":0.001689877,"domain_scores_codex":[0.9997222,0.00009193592,0.00001395057,0.00007179566,0.00005745565,0.00004264126],"domain_scores_gemma":[0.9995078,0.0002505927,0.0001065389,0.00004269823,0.00006019493,0.00003218403],"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":[0.002146007,0.0005607079,0.007376987,0.0008264019,0.0003290901,0.0008390102,0.0001822942,0.7100316,0.08753069,0.09044788,0.005317753,0.09441157],"study_design_scores_gemma":[0.00004833602,0.0004192046,0.001167584,0.00001968201,0.00005678823,0.000230527,0.0000137642,0.9847413,0.002881436,0.007539282,0.002852786,0.00002933591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1773198,0.004523752,0.8029823,0.00140101,0.0002451501,0.0003062962,0.00111689,0.0006964239,0.01140829],"genre_scores_gemma":[0.8737061,0.003624636,0.1128053,0.0005735852,0.0001663963,0.0008618671,0.000880004,0.0001374558,0.007244665],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003641081,"threshold_uncertainty_score":0.007239759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08568156568025634,"score_gpt":0.3745606714398875,"score_spread":0.2888791057596312,"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."}}