{"id":"W2913866147","doi":"10.1002/jcph.1391","title":"4β‐Hydroxycholesterol as an Endogenous Biomarker for CYP3A Activity: Literature Review and Critical Evaluation","year":2019,"lang":"en","type":"review","venue":"The Journal of Clinical Pharmacology","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Waterloo CFD Engineering Consulting","funders":"","keywords":"CYP3A; Biomarker; Pharmacology; Midazolam; Endogeny; Metabolite; Biology; Cholesterol; Cytochrome P450; Medicine; Endocrinology; Metabolism; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.02567608,0.0008359266,0.004672565,0.0003126418,0.000320142,0.0000798265,0.001366726,0.001549493,0.001006543],"category_scores_gemma":[0.002382163,0.000535364,0.001444809,0.0004075499,0.0007389967,0.0004529074,0.000272306,0.004783839,0.0001059966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000086269,"about_ca_system_score_gemma":0.001389601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001109359,"about_ca_topic_score_gemma":5.322194e-7,"domain_scores_codex":[0.9780873,0.01661821,0.003282817,0.0006682824,0.0005471631,0.000796226],"domain_scores_gemma":[0.9811473,0.01333493,0.00285962,0.0005138384,0.001247101,0.0008971863],"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":[0.001118425,0.001013555,0.000003950261,0.01938041,0.002421852,0.00008436025,0.0001016584,0.00000689933,0.0004460514,0.00007063485,0.01722005,0.9581321],"study_design_scores_gemma":[0.004030779,0.00099408,0.00001061435,0.003302092,0.06573028,0.003011018,0.000005571376,0.0003494583,0.0000711884,0.0004408956,0.9215742,0.0004798194],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001068866,0.9785841,0.0000565543,0.002264112,0.01291701,0.004248447,0.0003230844,0.00002074827,0.0005171215],"genre_scores_gemma":[0.001106395,0.9775659,0.0000791045,0.01643971,0.004218584,0.0001835166,0.00004988983,0.0001154888,0.0002414274],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9576523,"threshold_uncertainty_score":0.9999067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6130139562391858,"score_gpt":0.6623758551971944,"score_spread":0.04936189895800869,"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."}}