{"id":"W2002182525","doi":"10.1002/pamm.200700608","title":"Prediction of the disposition of a P‐gp substrate in wild‐type and knockout mice tissues: Development of a physiologically based pharmacokinetic (PBPK) model and its global sensitivity analysis","year":2007,"lang":"en","type":"article","venue":"PAMM","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Heart and Stroke Foundation of Canada","keywords":"Physiologically based pharmacokinetic modelling; Pharmacokinetics; Pharmacology; Transporter; Disposition; In vivo; P-glycoprotein; Knockout mouse; Biology; Chemistry; Internal medicine; Medicine; Biochemistry; Receptor; Psychology; Biotechnology","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":[0.0007274214,0.0006569562,0.0005761634,0.0002574255,0.0001159635,0.0004848324,0.0003106446,0.0006513526,0.0005702678],"category_scores_gemma":[0.001539195,0.0002930553,0.0008243038,0.0001453162,0.0003231098,0.0003169333,0.0002683124,0.0005440678,0.0001161677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005462742,"about_ca_system_score_gemma":0.0004184078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003372626,"about_ca_topic_score_gemma":0.000981056,"domain_scores_codex":[0.9998584,0.00007312516,0.000005629839,0.00002789208,0.00002015954,0.00001486429],"domain_scores_gemma":[0.9993163,0.0005449313,0.00005960262,0.00002390788,0.00004159037,0.00001369052],"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":[0.00002082137,0.000005191941,0.0003590975,0.000009060373,0.00001181468,0.00002813645,0.000004027277,0.9957487,0.002732882,0.0002662203,0.00002986693,0.0007841297],"study_design_scores_gemma":[0.000004575996,0.00002798287,0.0003267427,0.00000154611,0.000009381207,0.0000176179,0.000001938011,0.997793,0.001373242,0.0003858768,0.0000545564,0.000003585573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5138924,0.0003010702,0.4829877,0.000219469,0.00001414222,0.00006500805,0.0004213509,0.0003372123,0.001761583],"genre_scores_gemma":[0.9852307,0.0001049985,0.01363559,0.00003100446,0.000002695489,0.0000949938,0.0001365389,0.00002938547,0.0007340604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003372626,"threshold_uncertainty_score":0.006705999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172101820341412,"score_gpt":0.2671234910905797,"score_spread":0.2454024728871656,"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."}}