{"id":"W4283768589","doi":"10.1124/dmd.122.000885","title":"Physiologically Based Pharmacokinetic Models Can Be Used to Predict the Unique Nonlinear Absorption Profiles of Vismodegib","year":2022,"lang":"en","type":"article","venue":"Drug Metabolism and Disposition","topic":"Hedgehog Signaling Pathway Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physiologically based pharmacokinetic modelling; Pharmacokinetics; Vismodegib; Cmax; Pharmacology; Oral administration; Chemistry; Absorption (acoustics); In vivo; Drug; ADME; Drug discovery; Medicine; Biology; Biochemistry; Materials science; Hedgehog signaling pathway","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":[0.00040583,0.0007385634,0.0008638165,0.0003230467,0.0002002174,0.001003993,0.0004727086,0.0007817377,0.001398072],"category_scores_gemma":[0.001595966,0.0004531369,0.0008525118,0.0002206478,0.000271399,0.0007975799,0.0001953798,0.001171548,0.0006129497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008583247,"about_ca_system_score_gemma":0.001105527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004250452,"about_ca_topic_score_gemma":0.004033315,"domain_scores_codex":[0.9999141,0.00003070755,0.000005686955,0.00001739948,0.00002310898,0.000008969579],"domain_scores_gemma":[0.9996878,0.0002107843,0.0000546843,0.00001308471,0.00002616445,0.000007483441],"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":[0.0002816374,0.0001697212,0.003254675,0.0002712253,0.0002461688,0.0002182439,0.00007637739,0.9106912,0.04955043,0.006320357,0.001349086,0.02757094],"study_design_scores_gemma":[0.00002936346,0.0001036013,0.0008102081,0.000009790607,0.00005992734,0.0001087897,0.00001143027,0.9887316,0.00600303,0.002948529,0.001163335,0.00002050181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2150925,0.002291563,0.7707138,0.0008853074,0.00009571009,0.0002157891,0.001213799,0.001312352,0.008179191],"genre_scores_gemma":[0.9334256,0.003050285,0.05709653,0.000444898,0.00005120176,0.0004410922,0.0007496658,0.0002162946,0.004524473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004250452,"threshold_uncertainty_score":0.008451462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824004880295085,"score_gpt":0.2533920722414289,"score_spread":0.235152023438478,"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."}}