{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368424,0.0001506221,0.0007845711,0.0002598189,0.0000231898,0.000002045427,0.00009774718,0.0001514042,0.00009980406],"category_scores_gemma":[0.0004510869,0.0001330548,0.00003577745,0.0002710088,0.00008802299,0.00008060593,0.0001306702,0.0004900533,0.000009710073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002833764,"about_ca_system_score_gemma":0.0006165087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002097299,"about_ca_topic_score_gemma":0.00006726811,"domain_scores_codex":[0.9976479,0.0003593641,0.001049172,0.0003442722,0.0002693081,0.0003299681],"domain_scores_gemma":[0.9988791,0.0003589696,0.0001524538,0.00006904557,0.000267526,0.0002728718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001314249,0.001322857,0.9849939,0.00009338519,0.0001498415,0.00002551534,0.001572072,0.0005965036,0.000258734,0.000007723995,0.0003464604,0.00931872],"study_design_scores_gemma":[0.01284879,0.0001401483,0.9151419,0.0000932795,0.0001474035,0.000002011116,0.000113174,0.06976503,0.001177624,0.0001084449,0.0003265483,0.0001356602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965584,0.0009700455,0.00001109505,0.0005698015,0.0005130304,0.0008565232,0.00000554363,0.00001164416,0.0005038664],"genre_scores_gemma":[0.9971134,0.0009898478,0.0008509437,0.0005895042,0.00009934858,0.000145755,0.00003049512,0.0000137221,0.0001669533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06985205,"threshold_uncertainty_score":0.5425818,"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."}}