{"id":"W4381714962","doi":"10.1007/s40262-023-01272-0","title":"Authors’ Reply to Lv et al.: “External Evaluation of Population Pharmacokinetic Models for Precision Dosing: Current State and Knowledge Gaps”","year":2023,"lang":"en","type":"letter","venue":"Clinical Pharmacokinetics","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Dosing; Pharmacokinetics; Current (fluid); Medicine; Population; Intensive care medicine; Pharmacology; Physics","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":[0.01098774,0.0008791504,0.001881546,0.0009781655,0.003121707,0.00377367,0.00265954,0.06018976,0.006242543],"category_scores_gemma":[0.07960614,0.001107943,0.001849551,0.001149873,0.003171357,0.003658741,0.001746431,0.04721849,0.007997201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004183535,"about_ca_system_score_gemma":0.006773748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007305862,"about_ca_topic_score_gemma":0.008542477,"domain_scores_codex":[0.9918891,0.003053648,0.001511769,0.000952202,0.001911164,0.0006822476],"domain_scores_gemma":[0.9543563,0.03080654,0.002357539,0.0009825143,0.00917269,0.002324397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007153153,0.00001711963,0.0004150334,0.000057299,0.00001647032,0.0005802528,0.00009820888,0.00005212498,0.00007415685,0.0009285793,0.9938997,0.003789447],"study_design_scores_gemma":[0.0003060747,0.0001003391,0.00169765,0.0007191279,0.00008731944,0.002333184,0.0005123077,0.0007591792,0.0005847756,0.01128898,0.9814566,0.0001543287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001713452,0.0007526373,0.0001217015,0.9812279,0.01691254,0.00001096273,0.0001064,0.00003047565,0.0006659888],"genre_scores_gemma":[0.001163554,0.0003734013,0.0001830215,0.9795169,0.01759873,0.00003167805,0.0000275877,0.00001901694,0.001086085],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06018976,"threshold_uncertainty_score":0.05810946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2495556300540989,"score_gpt":0.5216436640067018,"score_spread":0.2720880339526029,"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."}}