{"id":"W4401015130","doi":"10.3390/pharmaceutics16080992","title":"Innovative Approaches to Optimize Clinical Transporter Drug–Drug Interaction Studies","year":2024,"lang":"en","type":"review","venue":"Pharmaceutics","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Celerion (Canada)","funders":"","keywords":"Drug; Drug-drug interaction; Transporter; Pharmacology; Computer science; Medicine; Chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001129912,0.0007797594,0.003101133,0.0004617593,0.00007463775,0.00003861978,0.0002499793,0.0002473231,0.00008995024],"category_scores_gemma":[0.0000365068,0.000523535,0.001026193,0.001191668,0.000147132,0.00008765873,0.00006283539,0.002047147,0.0004368994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000241273,"about_ca_system_score_gemma":0.0003959009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001349729,"about_ca_topic_score_gemma":0.000007334191,"domain_scores_codex":[0.9962531,0.0001510379,0.0017629,0.0008958702,0.000468561,0.0004685759],"domain_scores_gemma":[0.9985191,0.0002065955,0.0003061898,0.00042789,0.0002099315,0.0003303291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002542131,0.0004689861,0.00001330929,0.07545561,0.005738025,0.0006007624,0.002363449,0.00001118602,0.000001145185,0.0003339507,0.01254139,0.902218],"study_design_scores_gemma":[0.0005510218,0.00004990029,0.00000127469,0.02183436,0.01287636,0.00005785822,0.0006827739,0.00004857318,0.00003794963,0.0000382637,0.9633291,0.0004925602],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005209225,0.9901099,0.0003031068,0.001262877,0.004462387,0.002112443,0.0001179653,0.0002224326,0.001356788],"genre_scores_gemma":[0.0002078946,0.9862877,0.00261372,0.0007225437,0.001310643,0.0002943313,0.000319842,0.0001727635,0.008070552],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9507877,"threshold_uncertainty_score":0.9997216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6946209085703486,"score_gpt":0.550712564344004,"score_spread":0.1439083442263447,"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."}}