{"id":"W4220788072","doi":"10.1007/s40262-022-01118-1","title":"Using a Validated Population Pharmacokinetic Model for Dosing Recommendations of Continuous Infusion Piperacillin for Critically Ill Adult Patients","year":2022,"lang":"en","type":"article","venue":"Clinical Pharmacokinetics","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Dosing; Piperacillin; Medicine; Nomogram; Population; Pharmacokinetics; Intensive care medicine; Intensive care; Piperacillin/tazobactam; Pharmacodynamics; Pharmacology; Internal medicine","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":[0.002212976,0.0007044835,0.001337585,0.0003860349,0.0002886926,0.001909014,0.0008843275,0.00140773,0.001339778],"category_scores_gemma":[0.008557736,0.0004896627,0.001156848,0.0004082445,0.0001650573,0.00060516,0.0002961781,0.001483493,0.0005586516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308482,"about_ca_system_score_gemma":0.003634603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346117,"about_ca_topic_score_gemma":0.008035415,"domain_scores_codex":[0.9989687,0.0005445423,0.00006566082,0.0001713003,0.0001929027,0.00005685863],"domain_scores_gemma":[0.9974043,0.001602543,0.0003227644,0.00007858275,0.0005390475,0.00005262029],"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":[0.0003791999,0.0002058128,0.008943751,0.0001391974,0.0003548551,0.0002933719,0.00009213424,0.9439718,0.002708966,0.001683786,0.0030706,0.03815651],"study_design_scores_gemma":[0.000068826,0.0001731666,0.002169966,0.00002786261,0.0001256046,0.000143073,0.00001632964,0.9942405,0.0007449492,0.0007283725,0.001538527,0.00002279743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2375616,0.001827534,0.7460854,0.001716209,0.0001685397,0.0005921338,0.002222959,0.001850838,0.007974793],"genre_scores_gemma":[0.902935,0.0008100002,0.09022441,0.0008339087,0.00006645625,0.0004696721,0.00135695,0.0001555275,0.003148093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01346117,"threshold_uncertainty_score":0.02676564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1233718748251226,"score_gpt":0.4499413502026235,"score_spread":0.3265694753775009,"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."}}