{"id":"W2094473211","doi":"10.1124/dmd.112.045872","title":"Commentary: Theoretical Predictions of Flow Effects on Intestinal and Systemic Availability in Physiologically Based Pharmacokinetic Intestine Models: The Traditional Model, Segregated Flow Model, and QGut Model","year":2012,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Enterocyte; Pharmacokinetics; Small intestine; Chemistry; First pass effect; Biology; Pharmacology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004867113,0.000254467,0.0004326947,0.0001043376,0.0001254519,0.00001409544,0.00006318236,0.0000845112,0.000008441619],"category_scores_gemma":[0.00003077573,0.0001630668,0.00006591746,0.0001322112,0.0003868479,0.0001945813,0.00002470803,0.0002986577,3.302886e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002930628,"about_ca_system_score_gemma":0.00003752765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007931682,"about_ca_topic_score_gemma":0.000002383193,"domain_scores_codex":[0.9986346,0.0001506532,0.0003613804,0.0003180256,0.0002702935,0.0002650932],"domain_scores_gemma":[0.9992648,0.0001999443,0.00007536036,0.000179597,0.00007569989,0.0002046227],"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":[0.002905329,0.001725212,0.00139785,0.001282048,0.00008338036,0.000007484205,0.001927614,0.8710262,0.06691801,0.05032204,0.0002290102,0.002175837],"study_design_scores_gemma":[0.002471818,0.0001013835,0.006509383,0.0004907327,0.0004224935,0.00002689809,0.00006638164,0.9698203,0.00192221,0.0180178,6.31365e-7,0.0001499245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8908088,0.001087865,0.1056756,0.001279893,0.00005923958,0.0007112063,0.0002114076,0.00004506236,0.0001208929],"genre_scores_gemma":[0.9914805,0.0002040331,0.006876598,0.000921367,0.00008311829,0.000118815,0.0002883085,0.00001846571,0.000008770922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1006717,"threshold_uncertainty_score":0.6649671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657560724888205,"score_gpt":0.2346001348074415,"score_spread":0.2180245275585595,"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."}}