{"id":"W4382918571","doi":"10.1017/ice.2023.122","title":"Brave new world: Leveraging artificial intelligence for advancing healthcare epidemiology, infection prevention, and antimicrobial stewardship","year":2023,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Shaver Health and Rehabilitation Centre; Public Health Ontario; University of Toronto","funders":"","keywords":"Antimicrobial stewardship; Stewardship (theology); Health care; Epidemiology; Infection control; Medicine; Business; Intensive care medicine; Political science; Microbiology; Antibiotic resistance; Pathology; Biology","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":[0.01979566,0.0007491144,0.0008443596,0.004861928,0.001362183,0.01306357,0.001522445,0.003274615,0.009815942],"category_scores_gemma":[0.05778359,0.0005065922,0.001186218,0.002644882,0.004099561,0.01312433,0.007825816,0.007510044,0.0029912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563964,"about_ca_system_score_gemma":0.00984928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003647713,"about_ca_topic_score_gemma":0.01044606,"domain_scores_codex":[0.9898782,0.006721404,0.00053791,0.0005004529,0.001891021,0.0004711333],"domain_scores_gemma":[0.9534752,0.03273395,0.002355146,0.002857582,0.004031308,0.004546847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009050647,0.0002484224,0.008406804,0.001573982,0.0002457798,0.0001635301,0.001745414,0.001783424,0.0009062233,0.05887632,0.2137562,0.7122034],"study_design_scores_gemma":[0.00006166276,0.0002216365,0.008544351,0.006937263,0.0002133798,0.000409622,0.004716248,0.009203536,0.001556969,0.4565454,0.5113857,0.0002042675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00715313,0.06334385,0.06884502,0.8069582,0.006141004,0.0002051455,0.0006444048,0.00150429,0.04520486],"genre_scores_gemma":[0.2829203,0.2050546,0.3283098,0.1540304,0.01189732,0.0006285355,0.001315332,0.0006751896,0.0151685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01979566,"threshold_uncertainty_score":0.1046907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1834194272481682,"score_gpt":0.4532034911122385,"score_spread":0.2697840638640703,"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."}}