{"id":"W2079197876","doi":"10.1038/nrd3028","title":"Membrane transporters in drug development","year":2010,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":3319,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; U.S. Food and Drug Administration; National Institutes of Health","keywords":"Drug development; Drug; Transporter; Drug discovery; Pharmacology; Chemistry; Computational biology; Medicine; Biology; Biochemistry","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":[0.001096218,0.001690136,0.002800393,0.00268663,0.000387937,0.00170453,0.001096328,0.001910689,0.006352662],"category_scores_gemma":[0.001005798,0.0005780983,0.0005738829,0.003339622,0.001168247,0.00408742,0.001660492,0.002916535,0.005590113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097741,"about_ca_system_score_gemma":0.001774586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006459287,"about_ca_topic_score_gemma":0.001194695,"domain_scores_codex":[0.9996777,0.0000698099,0.0000445112,0.00004366435,0.0001269979,0.00003732644],"domain_scores_gemma":[0.9995378,0.0001753357,0.00008425881,0.00002560892,0.0001261148,0.00005094147],"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":[0.0001405464,0.00009157334,0.00009138151,0.009469064,0.00007762972,0.0002611818,0.0000437513,0.0006159026,0.003615116,0.009182696,0.0601046,0.9163067],"study_design_scores_gemma":[0.00003665917,0.0000852753,0.0001549852,0.001209126,0.00008148992,0.0008676958,0.00002397857,0.0002127154,0.000858536,0.003733673,0.9927191,0.00001670653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001731143,0.9939975,0.0009631368,0.00103376,0.0009542315,0.00001510829,0.00002916366,0.00003834445,0.002795619],"genre_scores_gemma":[0.0009424484,0.9953392,0.0005426279,0.0004259877,0.0005459391,0.00001529745,0.00003353794,0.000004678771,0.002150269],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006352662,"threshold_uncertainty_score":0.0212518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01953916252292814,"score_gpt":0.3168504676713648,"score_spread":0.2973113051484367,"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."}}