{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001133525,0.0001191446,0.000277725,0.0001823818,0.0004179165,0.0000202314,0.0003983379,0.00009738212,2.804573e-7],"category_scores_gemma":[0.003078826,0.00007426219,0.00002192206,0.002420979,0.0004075222,0.0004467405,0.0007619286,0.0004696909,0.000003035963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639296,"about_ca_system_score_gemma":0.0004682205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231024,"about_ca_topic_score_gemma":0.002514875,"domain_scores_codex":[0.9985917,0.00005663026,0.0007577618,0.0001211734,0.0001534374,0.0003193521],"domain_scores_gemma":[0.998225,0.0009885667,0.0003822325,0.0003057016,0.00006966835,0.00002887466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001993069,0.00003265061,0.8542268,0.004056226,0.00003950185,0.000003226443,0.05795712,0.001469813,0.00000141539,0.01289418,0.0002427708,0.06905635],"study_design_scores_gemma":[0.01507609,0.003183401,0.5305617,0.01519021,0.00005178282,0.0004503645,0.1035929,0.1335415,0.0003548504,0.133258,0.06268097,0.002058174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544073,0.003127752,0.003693825,0.03705793,0.0003608249,0.0009614355,0.000009420969,0.000304022,0.00007748891],"genre_scores_gemma":[0.9937726,0.003647379,0.0001474584,0.002355183,0.000005958728,0.00006005021,9.689742e-7,0.000003492466,0.000006886966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3236651,"threshold_uncertainty_score":0.3685865,"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."}}