{"id":"W3198731561","doi":"10.1017/ice.2021.362","title":"The impact of coronavirus disease 2019 (COVID-19) on healthcare-associated infections in 2020: A summary of data reported to the National Healthcare Safety Network","year":2021,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Infection Control in Healthcare","field":"Medicine","cited_by":355,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention","keywords":"Medicine; Incidence (geometry); Infection control; Pandemic; Bacteremia; Emergency medicine; Health care; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Intensive care medicine; Internal medicine; Disease; Infectious disease (medical specialty); Microbiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003126704,0.0005963859,0.0005012323,0.002495673,0.000214616,0.0009402049,0.0004391603,0.0003573839,0.00103552],"category_scores_gemma":[0.005785381,0.0001790609,0.001563442,0.002673769,0.0001877085,0.0009242587,0.0008594912,0.0005228706,0.0002927872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008018058,"about_ca_system_score_gemma":0.001314023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738913,"about_ca_topic_score_gemma":0.01820553,"domain_scores_codex":[0.9982055,0.0002711825,0.0004105945,0.0002172377,0.0007205643,0.0001748652],"domain_scores_gemma":[0.9935149,0.0008623561,0.003289175,0.0001588409,0.001803189,0.0003714788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002392105,0.00003205412,0.9724874,0.0007163067,0.0006484262,0.00005311965,0.000065399,0.0009819535,0.0003139817,0.0001020084,0.004397532,0.01996259],"study_design_scores_gemma":[0.000006951893,0.0001758851,0.9911964,0.0003336885,0.0002192661,0.0001524982,0.00024,0.0007006272,0.0003538218,0.00004558548,0.006559112,0.00001615903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7825604,0.05389983,0.00257142,0.002089919,0.0006955375,0.0001554488,0.1493858,0.0002314417,0.008410122],"genre_scores_gemma":[0.9046636,0.01121314,0.001375332,0.0007250236,0.0002793925,0.0001047668,0.08103692,0.00002386633,0.0005778876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738913,"threshold_uncertainty_score":0.03457582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237096492759091,"score_gpt":0.4592001760314158,"score_spread":0.3354905267555067,"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."}}