{"id":"W4381612485","doi":"10.3233/shti230371","title":"Navigating Infection Control Processes in a COVID-19 Only Safety-Net Hospital at the Height of the Pandemic","year":2023,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Agency for Healthcare Research and Quality","keywords":"Pandemic; Informatics; Control (management); Infection control; Coronavirus disease 2019 (COVID-19); Workforce; Health care; Medical emergency; Patient safety; Medicine; Punitive damages; Business; Nursing; Computer science; Political science; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004513718,0.0003067594,0.0002546036,0.00103532,0.007380133,0.00356802,0.001387827,0.001075658,0.002448986],"category_scores_gemma":[0.008992421,0.0004345348,0.0001587688,0.0008283336,0.003215241,0.002633975,0.004389743,0.001515249,0.0003367863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005416763,"about_ca_system_score_gemma":0.009263583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01634929,"about_ca_topic_score_gemma":0.03139529,"domain_scores_codex":[0.9965892,0.001871214,0.0001176642,0.0002738669,0.0003214131,0.0008267644],"domain_scores_gemma":[0.9922259,0.003077595,0.001092404,0.000356636,0.0007279928,0.002519373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007003103,0.002536945,0.3112545,0.0002292501,0.00003435054,0.004556072,0.5747183,0.002764385,0.005457701,0.004214098,0.003754174,0.08977988],"study_design_scores_gemma":[0.00005150531,0.001241216,0.06359182,0.0001282862,0.00002568879,0.0007000738,0.9105741,0.004604737,0.002248841,0.001804837,0.01494954,0.00007940736],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967526,0.00002312598,0.000660386,0.001010765,0.000004369387,0.00003993389,0.00001667165,0.00002014418,0.00147201],"genre_scores_gemma":[0.9975941,0.00005279931,0.001190122,0.0002969824,0.000003579519,0.00001946072,0.00001892096,0.000006233082,0.000817803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01634929,"threshold_uncertainty_score":0.03930157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243458227572913,"score_gpt":0.3592852705998437,"score_spread":0.3268506883241146,"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."}}