{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000731903,0.0001738664,0.0002639114,0.0001944132,0.0003625663,0.00008547995,0.0001485447,0.00007114521,0.001808635],"category_scores_gemma":[0.0002984189,0.0001173004,0.0001797997,0.001111726,0.00007768281,0.0001674699,0.0001857293,0.0002926957,0.002418397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165683,"about_ca_system_score_gemma":0.00006088184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002655836,"about_ca_topic_score_gemma":0.00009462286,"domain_scores_codex":[0.9984593,0.000299691,0.000350401,0.0003393681,0.000273884,0.000277383],"domain_scores_gemma":[0.9991661,0.00006965343,0.00006570391,0.0003778453,0.0001970675,0.0001236555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01354019,0.02107635,0.08562772,0.0008014596,0.003523689,0.001168895,0.05710597,0.0149369,0.6469195,0.002725175,0.02074612,0.131828],"study_design_scores_gemma":[0.008027621,0.007275138,0.9474548,0.0006566135,0.0005146901,0.000209407,0.002728132,0.002101561,0.01265783,0.00004745085,0.01774351,0.0005832316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904497,0.00001904361,0.001372415,0.002397628,0.0005847743,0.002723937,0.00001663072,0.0004673519,0.001968489],"genre_scores_gemma":[0.9898598,0.00001000955,0.0002157404,0.0004399732,0.0001916633,0.0002986273,0.00006894582,0.00002661806,0.00888858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8618271,"threshold_uncertainty_score":0.9991038,"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."}}