{"id":"W2032426985","doi":"10.1177/0091270003254800","title":"From Bench to Bedside: Utilization of an In Vitro Model to Predict Potential Drug‐Drug Interactions in the Kidney: The Digoxin‐Mifepristone Example","year":2003,"lang":"en","type":"article","venue":"The Journal of Clinical Pharmacology","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Mifepristone; Digoxin; Pharmacology; P-glycoprotein; Drug; Medicine; Kidney; Drug interaction; Internal medicine; Biology; Drug resistance; Multiple drug resistance; Pregnancy","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":[0.0008810469,0.001153825,0.001611182,0.0004650366,0.0004090774,0.001240362,0.000756399,0.001789987,0.001312975],"category_scores_gemma":[0.001351629,0.0006506165,0.0009865556,0.000386186,0.000423942,0.0007922506,0.0005278894,0.001393512,0.0007737671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000774033,"about_ca_system_score_gemma":0.0005695259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753969,"about_ca_topic_score_gemma":0.004316743,"domain_scores_codex":[0.9994509,0.0002443297,0.00003247125,0.00007696362,0.0001552524,0.00004005437],"domain_scores_gemma":[0.9989588,0.0006574127,0.00009302815,0.0001255321,0.0001102873,0.00005495161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00191897,0.001161601,0.01494555,0.001232528,0.0003749313,0.0008821632,0.0001618713,0.1398241,0.743645,0.00304318,0.002302284,0.09050796],"study_design_scores_gemma":[0.0001754064,0.006194696,0.008260691,0.00009306069,0.0005252597,0.001452525,0.000163446,0.5428421,0.4228219,0.003826736,0.01346303,0.0001811623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.472634,0.02939371,0.4803886,0.003849476,0.0007500694,0.0004044558,0.001811957,0.002158075,0.008609678],"genre_scores_gemma":[0.8305473,0.01619385,0.1495282,0.0004223872,0.0001429695,0.0002014808,0.001071097,0.00009059632,0.0018021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002753969,"threshold_uncertainty_score":0.00561595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08950686802518415,"score_gpt":0.4324385615157118,"score_spread":0.3429316934905277,"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."}}