{"id":"W2009236753","doi":"10.1177/00912700222011418","title":"Limited Sampling Strategy to Predict AUC of the CYP3A Phenotyping Probe Midazolam in Adults: Application to Various Assay Techniques","year":2002,"lang":"en","type":"article","venue":"The Journal of Clinical Pharmacology","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences North","funders":"","keywords":"Midazolam; Reproducibility; Mean squared error; CYP3A; Sampling (signal processing); Linear regression; Pharmacokinetics; Mathematics; Statistics; Medicine; Anesthesia; Pharmacology; Internal medicine; Computer science","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":[0.005636983,0.0009052951,0.001080368,0.0007284529,0.0002014088,0.000495953,0.0006967338,0.0006444987,0.0004662335],"category_scores_gemma":[0.01726835,0.0004477407,0.0008124138,0.0004487568,0.0002327434,0.0004132706,0.0004823724,0.000628548,0.0002522105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512751,"about_ca_system_score_gemma":0.0007463863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003618607,"about_ca_topic_score_gemma":0.00305224,"domain_scores_codex":[0.9971986,0.001686966,0.000201788,0.0003604257,0.000495492,0.00005687742],"domain_scores_gemma":[0.9926771,0.00493712,0.0008455209,0.000617301,0.0007979822,0.0001250137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006092741,0.001186151,0.3331696,0.0003817184,0.001046917,0.0004064653,0.0003531294,0.2650746,0.05782739,0.0007115063,0.001263902,0.3324859],"study_design_scores_gemma":[0.0001784596,0.002298964,0.06647864,0.00003978415,0.0002652903,0.0004240714,0.00003506084,0.9146444,0.01440247,0.0005125904,0.0006666078,0.00005373835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.652538,0.001351004,0.3439561,0.0002591459,0.00003461803,0.0002891677,0.0003552156,0.0007389292,0.0004777528],"genre_scores_gemma":[0.9187881,0.0003408531,0.07968812,0.0001152286,0.00001636211,0.000249626,0.0004712577,0.00003653529,0.0002939241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005636983,"threshold_uncertainty_score":0.02981162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1744647049555976,"score_gpt":0.4897639880220149,"score_spread":0.3152992830664174,"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."}}