{"id":"W2069868586","doi":"10.1002/cpdd.196","title":"Population pharmacokinetic modeling of motesanib and its active metabolite, M4, in cancer patients","year":2015,"lang":"en","type":"article","venue":"Clinical Pharmacology in Drug Development","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec Rehabilitation Research Network","funders":"","keywords":"Medicine; Pharmacokinetics; Dosing; Covariate; Population; Demographics; Metabolite; Active metabolite; Internal medicine; Pharmacology; Oncology; Demography; Statistics; Environmental health","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":[0.001715162,0.0004031962,0.0008432436,0.0002983834,0.0001405479,0.0007082017,0.0005267386,0.0005117627,0.0008079323],"category_scores_gemma":[0.003175066,0.0003235836,0.001102827,0.000349402,0.0001686618,0.000363006,0.0003595823,0.000634101,0.0002196981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005166774,"about_ca_system_score_gemma":0.0009103999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005097721,"about_ca_topic_score_gemma":0.002453991,"domain_scores_codex":[0.9995408,0.0002711512,0.00001731617,0.00008137002,0.00005064334,0.00003880205],"domain_scores_gemma":[0.9991134,0.0005863208,0.0001468309,0.0000463253,0.0000770455,0.00003004514],"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":[0.00269447,0.0002906694,0.06255553,0.0001445058,0.001075735,0.0005268214,0.0003034486,0.8890791,0.006475115,0.002432933,0.001371763,0.03304997],"study_design_scores_gemma":[0.0001388384,0.0009014716,0.01690876,0.00001225849,0.0003032194,0.0002624758,0.00004754426,0.9759582,0.001208804,0.002445851,0.001780843,0.00003169759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8962786,0.0008788824,0.09857796,0.0004953509,0.00001737561,0.000163074,0.00137792,0.0001947299,0.002016031],"genre_scores_gemma":[0.9867801,0.000481757,0.01034249,0.000107502,0.00001511842,0.0002103768,0.0009537939,0.00002847599,0.001080218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005097721,"threshold_uncertainty_score":0.01013607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516378251483388,"score_gpt":0.4866974679411927,"score_spread":0.3350596427928539,"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."}}