{"id":"W3005499247","doi":"10.12927/hcq.2020.26040","title":"Measuring and Monitoring Healthcare-Associated Infections: A Canadian Collaboration to Better Understand the Magnitude of the Problem","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Nosocomial Infections in ICU","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Government of Canada; Public Health Agency of Canada; Alberta Health Services; Canadian Institute for Health Information; Canadian Patient Safety Institute","funders":"","keywords":"Health care; Magnitude (astronomy); Medicine; Key (lock); Medical emergency; Intensive care medicine; Computer science; Political science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003036575,0.0001428734,0.0002398309,0.0001100166,0.000526131,0.00005606892,0.00009075188,0.0001209102,0.000005760446],"category_scores_gemma":[0.0001416203,0.0001029864,0.00005213524,0.0009748543,0.00006587538,0.00008964115,0.00001671677,0.0004114936,0.000007095975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195944,"about_ca_system_score_gemma":0.001000774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1345271,"about_ca_topic_score_gemma":0.332926,"domain_scores_codex":[0.9984976,0.000266831,0.0003765879,0.0002428778,0.0002910385,0.0003250543],"domain_scores_gemma":[0.9986063,0.00009096087,0.0001253961,0.0002613655,0.0004883978,0.0004276448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001502459,0.000131084,0.8780337,0.001165889,0.0002257077,0.00001452345,0.06677221,0.00004257134,0.00484748,0.001889049,0.005041225,0.04168634],"study_design_scores_gemma":[0.002643227,0.006685616,0.9394386,0.001846443,0.0002368994,0.00009882145,0.03167388,0.0000810553,0.003491201,0.001955471,0.01128765,0.0005611203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7130523,0.0002838855,0.00004256773,0.2845628,0.0003048802,0.001511182,0.00003055489,0.00005413251,0.0001576879],"genre_scores_gemma":[0.993721,0.00002999691,0.0002898406,0.005549916,0.0002735411,0.00009162936,0.000003811758,0.00002522944,0.00001501955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2806687,"threshold_uncertainty_score":0.8712361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05490768535489317,"score_gpt":0.3047261854619679,"score_spread":0.2498185001070748,"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."}}