{"id":"W3095255942","doi":"10.1017/ice.2020.983","title":"Process Surveillance and Follow-Up Monitoring to Increase Compliance to Standards in Medical Device Reprocessing","year":2020,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Medical Device Sterilization and Disinfection","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Accreditation; Medicine; Government (linguistics); Patient safety; Operations management; Medical emergency; Environmental health; Health care; Medical education; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2304681,0.001197086,0.001498517,0.01107524,0.002185822,0.004712586,0.005265241,0.001787319,0.001280944],"category_scores_gemma":[0.3122405,0.001071904,0.001867754,0.005411854,0.001128511,0.004367557,0.004127317,0.001819992,0.000611033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008854081,"about_ca_system_score_gemma":0.04155265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156334,"about_ca_topic_score_gemma":0.0267303,"domain_scores_codex":[0.8027947,0.102927,0.02788934,0.007492769,0.0557985,0.003097656],"domain_scores_gemma":[0.4964614,0.1642255,0.1220306,0.02409065,0.1872469,0.005944936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008673952,0.001860435,0.09735336,0.01877308,0.0005185466,0.0003447926,0.02165832,0.00193924,0.005213798,0.001451628,0.01847134,0.8315481],"study_design_scores_gemma":[0.002064714,0.01544581,0.618849,0.04727297,0.003047283,0.001746555,0.0264411,0.02236535,0.04386776,0.004827377,0.2133021,0.0007699632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5934143,0.0569029,0.1723114,0.02918495,0.002900226,0.08081625,0.003569352,0.006749925,0.0541507],"genre_scores_gemma":[0.680273,0.01322245,0.2683189,0.003384969,0.0005242286,0.02863085,0.001954203,0.0002530709,0.003438537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2304681,"threshold_uncertainty_score":0.9489698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0351925259868409,"score_gpt":0.3525626671281092,"score_spread":0.3173701411412683,"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."}}