{"id":"W4405224960","doi":"10.1093/cid/ciae591","title":"Epidemiology and Outcomes of Antibiotic De-escalation in Patients With Suspected Sepsis in US Hospitals","year":2024,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Agency for Healthcare Research and Quality; National Institute of Allergy and Infectious Diseases; Centers for Disease Control and Prevention; NIH Clinical Center; National Institutes of Health","keywords":"Medicine; Epidemiology; De-escalation; Sepsis; Antibiotics; Intensive care medicine; Emergency medicine; Internal medicine; Microbiology","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":[0.001723771,0.0002396523,0.0003382807,0.001271027,0.0003543075,0.0008012364,0.0005669384,0.0004718796,0.0008183175],"category_scores_gemma":[0.0110082,0.000236538,0.0004739602,0.002076733,0.0005494747,0.0006323282,0.0009962284,0.0006867985,0.00009914933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009393225,"about_ca_system_score_gemma":0.0007832574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240288,"about_ca_topic_score_gemma":0.004130636,"domain_scores_codex":[0.9968534,0.0009329261,0.0007679894,0.0005399344,0.0005726262,0.0003330554],"domain_scores_gemma":[0.98154,0.002096557,0.01381722,0.000493606,0.001013415,0.001039154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001877991,0.000006244964,0.9993337,0.00000547911,0.00001691541,0.00002740799,0.00002110735,0.00003732043,0.00001816085,0.00001001642,0.00005273088,0.0004521297],"study_design_scores_gemma":[0.00000317992,0.00004502977,0.9989598,0.00001905334,0.000009379933,0.0003288339,0.0001955405,0.0002735118,0.00003087404,0.00003227097,0.00009864367,0.000003947745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984366,0.0006364568,0.0001425212,0.0002007682,0.000008131839,0.00001066775,0.0002742449,0.000005568767,0.0002849219],"genre_scores_gemma":[0.9994379,0.0001401073,0.0000677202,0.00004840973,0.0000103783,0.000007050587,0.0002737139,0.000001441433,0.00001320652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004240288,"threshold_uncertainty_score":0.009116232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04648394696236009,"score_gpt":0.4027695869994157,"score_spread":0.3562856400370557,"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."}}