{"id":"W4375955351","doi":"10.1002/lary.30740","title":"Auto‐Substitutions to Optimize Perioperative Antimicrobial Prophylaxis: Pre‐Post Intervention Study","year":2023,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Surgical site infection prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"London Health Sciences Centre","keywords":"Medicine; Perioperative; Psychological intervention; Intervention (counseling); Antibiotic prophylaxis; Antimicrobial; Adverse effect; Dosing; Intensive care medicine; Emergency medicine; Antibiotics; Surgery; Internal medicine; Nursing","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":[0.002832578,0.000761377,0.001130736,0.0005902518,0.001033556,0.000767886,0.0007973383,0.001003846,0.008286165],"category_scores_gemma":[0.006689232,0.000680699,0.0009084607,0.0005073448,0.000705947,0.0008408658,0.001177259,0.001944436,0.0009605298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186279,"about_ca_system_score_gemma":0.003462112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136352,"about_ca_topic_score_gemma":0.003415321,"domain_scores_codex":[0.9976839,0.000896042,0.0002319932,0.0002794374,0.0003137174,0.0005948832],"domain_scores_gemma":[0.9945949,0.00176851,0.0008893643,0.0005290538,0.0006302527,0.001587892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.07391883,0.6160825,0.04036699,0.001598014,0.0003507807,0.0002872953,0.005591199,0.0005254332,0.002724446,0.0004117365,0.002356201,0.2557865],"study_design_scores_gemma":[0.03699549,0.6916679,0.2553655,0.0002958738,0.0005972488,0.0001160429,0.003360227,0.0008972918,0.003590586,0.000362181,0.006647766,0.0001038071],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958373,0.00007795013,0.0001592558,0.0001305862,0.00005564605,0.002343534,0.0001623188,0.00002546506,0.001207944],"genre_scores_gemma":[0.9877653,0.0002348356,0.002972095,0.0003256305,0.000102445,0.005768777,0.000236929,0.0000101871,0.002583652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008286165,"threshold_uncertainty_score":0.02772003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781272204685026,"score_gpt":0.3223247471513059,"score_spread":0.3045120251044557,"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."}}