{"id":"W4306986477","doi":"10.1021/acs.est.2c03017","title":"Predicting Hepatic Clearance of Psychotropic Drugs in Isolated Perfused Fish Livers Using a Combination of Two <i>In Vitro</i> Assays","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; European Chemical Industry Council","keywords":"Biotransformation; In vitro; In vitro toxicology; Toxicokinetics; Rainbow trout; Chemistry; Pharmacology; Liver cell; Biochemistry; Biology; Fish <Actinopterygii>; Metabolism; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005103656,0.0006977524,0.0005549391,0.0005037162,0.0001746068,0.0005431828,0.0002413526,0.0004158498,0.00066786],"category_scores_gemma":[0.0008333332,0.0002258274,0.000691054,0.0002550567,0.0002948261,0.0003445883,0.0002258233,0.0004898947,0.0003100694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006860423,"about_ca_system_score_gemma":0.000602788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894945,"about_ca_topic_score_gemma":0.004440015,"domain_scores_codex":[0.9997635,0.00005788836,0.00002134819,0.00005998703,0.00007510123,0.00002214131],"domain_scores_gemma":[0.9995783,0.0001614111,0.0001265861,0.0000346257,0.00007081968,0.00002829379],"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":[0.0005213563,0.00004546643,0.01745353,0.0000899941,0.00007853543,0.00007302381,0.00002834292,0.01343747,0.9612064,0.00008849449,0.00005530967,0.006922062],"study_design_scores_gemma":[0.00002266058,0.001003544,0.01973355,0.000005642622,0.0001258248,0.0002023332,0.00004096036,0.05456637,0.9238328,0.00009328542,0.0003392624,0.00003357769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350473,0.0008877167,0.06159481,0.00007460649,0.00001660212,0.000113574,0.0008390709,0.0003480236,0.001078395],"genre_scores_gemma":[0.9769473,0.0008085821,0.02095814,0.00003102643,0.000005582124,0.00005207662,0.0004601475,0.00003372512,0.0007033804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004894945,"threshold_uncertainty_score":0.009732902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005598471089370096,"score_gpt":0.2261964028035945,"score_spread":0.2205979317142244,"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."}}