{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006024772,0.0009012484,0.001657535,0.001635319,0.0001920628,0.001829032,0.001289708,0.001137172,0.006871851],"category_scores_gemma":[0.004329199,0.0004068144,0.001520565,0.001397854,0.0007676405,0.001780402,0.00118165,0.002584114,0.002388953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007253157,"about_ca_system_score_gemma":0.001980057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006891286,"about_ca_topic_score_gemma":0.001019227,"domain_scores_codex":[0.9984156,0.0007711269,0.0001339853,0.0001879119,0.0004180419,0.00007336705],"domain_scores_gemma":[0.9983751,0.0008754882,0.0002238768,0.00009524942,0.0003722667,0.0000580475],"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":[0.0004097605,0.0004154126,0.0005064686,0.02055436,0.0003454491,0.0003210931,0.0001180685,0.001919381,0.01453877,0.0281253,0.01472398,0.9180218],"study_design_scores_gemma":[0.0003598751,0.001460548,0.001692654,0.004804531,0.0007052232,0.001563207,0.0001238562,0.001805146,0.01009107,0.01474334,0.962576,0.00007466965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003628892,0.9481625,0.03132027,0.002445997,0.00075156,0.0008596233,0.000469762,0.0001785764,0.01218284],"genre_scores_gemma":[0.03110757,0.9194741,0.03886542,0.002409242,0.0006019833,0.00119419,0.000689215,0.00007469996,0.005583485],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006871851,"threshold_uncertainty_score":0.03186244,"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."}}