{"id":"W4390060918","doi":"10.1007/s40262-023-01329-0","title":"Toward Model-Based Informed Precision Dosing of Vancomycin in Hematologic Cancer Patients: A First Step","year":2023,"lang":"en","type":"article","venue":"Clinical Pharmacokinetics","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Centre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Dosing; Vancomycin; Nomogram; Population; NONMEM; Oncology; Renal function; Internal medicine; Intensive care medicine; Staphylococcus aureus","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001902652,0.0007453439,0.001953982,0.0003611787,0.000272077,0.002918889,0.001489166,0.001083796,0.002333866],"category_scores_gemma":[0.007016794,0.0006716691,0.0008644542,0.0003205772,0.0004161401,0.001672596,0.0009035678,0.002525909,0.0006078801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399096,"about_ca_system_score_gemma":0.004808671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008003172,"about_ca_topic_score_gemma":0.007932352,"domain_scores_codex":[0.9989942,0.0005130485,0.00004244489,0.0001195895,0.0002688185,0.00006201132],"domain_scores_gemma":[0.9975133,0.001425419,0.0003352794,0.0002197491,0.0004041231,0.0001021098],"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":[0.0002526475,0.0001990847,0.001898441,0.0001223851,0.0001474488,0.00006824479,0.00004764332,0.9500731,0.003810252,0.009408738,0.002917008,0.03105505],"study_design_scores_gemma":[0.00004666572,0.0001422554,0.0003479907,0.00003130381,0.00003219712,0.00003466044,0.00002036043,0.9856793,0.0009403945,0.01048211,0.002224368,0.00001835557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03680687,0.001645859,0.9494669,0.004015889,0.000106006,0.0001766248,0.0005817481,0.001392078,0.005807839],"genre_scores_gemma":[0.688397,0.001896395,0.3039479,0.001805168,0.0001665438,0.0003568971,0.0008657604,0.0003222947,0.00224205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008003172,"threshold_uncertainty_score":0.01591319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0982444757694802,"score_gpt":0.426129783228727,"score_spread":0.3278853074592468,"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."}}