{"id":"W2046095427","doi":"10.1208/s12248-014-9647-y","title":"Making the Most of Clinical Data: Reviewing the Role of Pharmacokinetic-Pharmacodynamic Models of Anti-malarial Drugs","year":2014,"lang":"en","type":"review","venue":"The AAPS Journal","topic":"Malaria Research and Control","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"Victorian Centre for Biostatistics; National Health and Medical Research Council; Wellcome Trust","keywords":"Pharmacodynamics; Drug development; Computer science; Population; Bayesian probability; Artificial intelligence; Medicine; Pharmacology; Drug; Pharmacokinetics","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":[0.005239537,0.001208797,0.003598607,0.00322153,0.0003493027,0.002693182,0.002294997,0.002688526,0.002378688],"category_scores_gemma":[0.01105678,0.0005501835,0.001484339,0.003507624,0.0014499,0.004128458,0.001018429,0.003555978,0.001119726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592425,"about_ca_system_score_gemma":0.003739849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988197,"about_ca_topic_score_gemma":0.003918991,"domain_scores_codex":[0.9980172,0.0008653058,0.0003180606,0.0001709929,0.0005520292,0.00007646853],"domain_scores_gemma":[0.988834,0.008920518,0.0008299396,0.000145656,0.001114272,0.0001555887],"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":[0.0001133836,0.00006505657,0.0002904205,0.04177761,0.0004204179,0.0001708376,0.00009469215,0.0008694401,0.0003595811,0.01106189,0.02440482,0.9203719],"study_design_scores_gemma":[0.00006901012,0.0002170033,0.001139626,0.0348975,0.00093491,0.001460755,0.0002424007,0.0008473123,0.0004696228,0.01835988,0.9412931,0.00006897293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003696554,0.9984964,0.000188161,0.000914363,0.0001336556,0.000003832646,0.000008712838,0.000002783885,0.0002151702],"genre_scores_gemma":[0.0005495774,0.9984188,0.0003099815,0.0004067092,0.0002384686,0.00000479346,0.000009747003,0.000001291118,0.00006062163],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005239537,"threshold_uncertainty_score":0.0277096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2113417266238842,"score_gpt":0.493273658794199,"score_spread":0.2819319321703149,"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."}}