{"id":"W4323647869","doi":"10.1017/ash.2023.119","title":"On-demand, hospital-based, severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomic epidemiology to support nosocomial outbreak investigations: A prospective molecular epidemiology study","year":2023,"lang":"en","type":"article","venue":"Antimicrobial Stewardship & Healthcare Epidemiology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Styrelsen för Internationellt Utvecklingssamarbete; Université de Montréal; Pfizer","keywords":"Epidemiology; Outbreak; Transmission (telecommunications); Molecular epidemiology; Infection control; Medicine; Pandemic; Coronavirus; Virology; Intensive care medicine; Disease; Biology; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Genotype; Internal medicine; Genetics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005729386,0.0008267983,0.0001579665,0.000776468,0.000586738,0.0009973396,0.0008638671,0.0005457574,0.0009810345],"category_scores_gemma":[0.009315477,0.0004667379,0.0002848808,0.0004369377,0.0005015662,0.0008206794,0.0007630308,0.0004637409,0.0002108865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600011,"about_ca_system_score_gemma":0.003548078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208718,"about_ca_topic_score_gemma":0.04204539,"domain_scores_codex":[0.9978943,0.001276191,0.00009284646,0.000240375,0.00025024,0.0002460127],"domain_scores_gemma":[0.9928321,0.001641841,0.002236078,0.0005491795,0.001432733,0.001308138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004057646,0.0006281845,0.9922518,0.00003958692,0.00004856284,0.000108931,0.000197855,0.000247588,0.000638885,0.00003447595,0.0001673745,0.005230946],"study_design_scores_gemma":[0.0001183166,0.003952459,0.9923504,0.00002957042,0.00005920594,0.0002260109,0.0006414477,0.001612276,0.0005084572,0.00003365718,0.0004520217,0.000016152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998665,0.0001119796,0.000521045,0.00009191993,0.000009982253,0.0001419964,0.0002058005,0.000008106665,0.0002442173],"genre_scores_gemma":[0.9978649,0.00009679175,0.001454331,0.00009981388,0.00002635383,0.00007151427,0.0002677554,0.00000404119,0.0001144665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02208718,"threshold_uncertainty_score":0.04391724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388642659337303,"score_gpt":0.4389274272109001,"score_spread":0.3000631612771698,"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."}}