{"id":"W2326789492","doi":"10.1097/ftd.0b013e318232bc61","title":"Performance of Different Population Pharmacokinetic Algorithms","year":2011,"lang":"en","type":"article","venue":"Therapeutic Drug Monitoring","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"NONMEM; Population; Algorithm; Statistics; Mathematics; Maximization; Residual; Mathematical optimization; Medicine","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":[0.01275395,0.001558536,0.001438178,0.0015517,0.0005084237,0.001847634,0.001773156,0.001573324,0.004611627],"category_scores_gemma":[0.04066621,0.0006468672,0.001767765,0.001301622,0.0004818091,0.001705636,0.001495373,0.002067281,0.001043866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562151,"about_ca_system_score_gemma":0.002441729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859786,"about_ca_topic_score_gemma":0.003232744,"domain_scores_codex":[0.9956665,0.002499826,0.0003913967,0.0006102675,0.0007115533,0.0001203528],"domain_scores_gemma":[0.9696715,0.02480189,0.001139377,0.001369112,0.002813853,0.0002041866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00114172,0.0002459743,0.01058867,0.0004773455,0.0007430913,0.00009921809,0.0002111308,0.7342454,0.001219558,0.005963773,0.00289879,0.2421654],"study_design_scores_gemma":[0.0001376555,0.0001923442,0.002236969,0.00005558462,0.0001221714,0.00009069349,0.00003383966,0.9901853,0.001586787,0.003298097,0.002022232,0.00003842652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1115404,0.00259919,0.8723916,0.0007872442,0.0001941377,0.0005509999,0.0008387358,0.003937749,0.007160008],"genre_scores_gemma":[0.4042128,0.0009924419,0.5871644,0.0005696554,0.0001077886,0.001245586,0.001813919,0.0007902975,0.0031031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01275395,"threshold_uncertainty_score":0.06745011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5388029263656204,"score_gpt":0.5138796871841506,"score_spread":0.02492323918146988,"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."}}