{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004493104,0.0002143698,0.0007159639,0.0002291634,0.00003445999,0.000008956771,0.0002206059,0.0002072867,0.0001042757],"category_scores_gemma":[0.00154968,0.0001845878,0.000227046,0.0008342554,0.0002435757,0.00006099678,0.0001262717,0.0004487076,0.000031698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332906,"about_ca_system_score_gemma":0.0003225045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001851303,"about_ca_topic_score_gemma":0.00004698483,"domain_scores_codex":[0.9973778,0.00006419989,0.001406448,0.0003584516,0.0003918334,0.0004013002],"domain_scores_gemma":[0.9977062,0.001182168,0.0003422324,0.0003029882,0.0002829698,0.0001834765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004349628,0.002188021,0.8613142,0.002275683,0.0001038705,0.0001065091,0.0003493015,0.03846402,0.002672326,0.00002816691,0.05152246,0.03662578],"study_design_scores_gemma":[0.03007898,0.001170089,0.2997652,0.004447495,0.000397005,0.000001763007,0.00009269567,0.6286656,0.01700694,0.0003639124,0.01726006,0.0007502341],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948499,0.0001755464,0.001977277,0.000835132,0.0005646489,0.0008730349,0.00006763676,0.0001007963,0.0005560734],"genre_scores_gemma":[0.9939499,0.001417869,0.00332475,0.001007289,0.00007963533,0.00004284432,0.00003879034,0.00003538686,0.0001035311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5902016,"threshold_uncertainty_score":0.7527273,"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."}}