{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001656796,0.000658543,0.0005712904,0.0005645983,0.0008898278,0.001058007,0.0005612537,0.001006624,0.001384406],"category_scores_gemma":[0.003541899,0.0006103733,0.0009844134,0.0008453365,0.0002536144,0.0009744345,0.0006381359,0.0009057951,0.0003167306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005321699,"about_ca_system_score_gemma":0.0007884718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00555556,"about_ca_topic_score_gemma":0.006019321,"domain_scores_codex":[0.9988587,0.0003440233,0.00009711618,0.0003151273,0.0001328662,0.0002521187],"domain_scores_gemma":[0.997768,0.0002394605,0.0009417097,0.000259574,0.0003122103,0.000478998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002443133,0.0003153404,0.9981014,0.00001037324,0.00009513999,0.00006448406,0.0001623585,0.00002178103,0.0002102969,0.000007435172,0.0001294288,0.0006376463],"study_design_scores_gemma":[0.00004261424,0.001111533,0.997533,0.00001484125,0.00006850289,0.0001641435,0.0006053589,0.0002244233,0.00005940344,0.000009929914,0.0001585416,0.000007712862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995381,0.00009759433,0.00005839373,0.00002734114,0.000004818604,0.00003148685,0.0001481514,0.00000182468,0.00009243553],"genre_scores_gemma":[0.9993845,0.00008508927,0.0001288658,0.00006323576,0.00001022191,0.00003702913,0.000187297,0.000002568368,0.0001011462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00555556,"threshold_uncertainty_score":0.01104647,"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."}}