{"id":"W2973226583","doi":"10.1093/cid/ciz621","title":"Optimizing Contact Precautions to Curb the Spread of Antibiotic-resistant Bacteria in Hospitals: A Multicenter Cohort Study to Identify Patient Characteristics and Healthcare Personnel Interactions Associated With Transmission of Methicillin-resistant Staphylococcus aureus","year":2019,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Canadian Institutes of Health Research; Centers for Disease Control and Prevention","keywords":"Medicine; Odds ratio; Respiratory therapist; Confidence interval; Anterior nares; Methicillin-resistant Staphylococcus aureus; Healthcare worker; Infection control; Prospective cohort study; Emergency medicine; Cohort study; Cohort; Surgery; Staphylococcus aureus; Health care; Internal medicine; Intensive care medicine; Bacteria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009332353,0.0003063872,0.001183561,0.0003035819,0.0001666042,0.0000437274,0.0001163241,0.0001355368,0.00005603742],"category_scores_gemma":[0.002724274,0.0002185347,0.0002332049,0.0005245438,0.0001208602,0.0001187458,0.00008273847,0.0005719023,0.000005539084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960321,"about_ca_system_score_gemma":0.0002977189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001529839,"about_ca_topic_score_gemma":0.001888602,"domain_scores_codex":[0.9960006,0.0009824842,0.001582886,0.0006122144,0.0004472758,0.0003744985],"domain_scores_gemma":[0.9953087,0.001889752,0.0006340791,0.0005781625,0.001096253,0.0004930589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002324038,0.003880642,0.981591,0.0003807711,0.000498033,0.00001947808,0.004168439,0.00008472464,0.005871617,0.00001936672,0.00001462491,0.001147293],"study_design_scores_gemma":[0.002965001,0.008716693,0.9806216,0.002228501,0.0005890959,8.160183e-7,0.003992604,0.0004514161,0.0001652163,0.000004586867,0.00005054349,0.0002139189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910302,0.0001844386,0.0001897082,0.001032421,0.0005442047,0.006444518,0.0004798775,0.00006567868,0.00002893631],"genre_scores_gemma":[0.9990572,0.000068601,0.00007464872,0.0005072266,0.00005587049,0.0001307401,0.00005011148,0.00004314141,0.00001242994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008027012,"threshold_uncertainty_score":0.8911587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862386261247653,"score_gpt":0.376266806496831,"score_spread":0.3476429438843545,"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."}}