{"id":"W4286615234","doi":"10.31219/osf.io/e7uhr","title":"A media surveillance analysis of COVID-19 workplace outbreaks in Canada and the United States","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outbreak; Coronavirus disease 2019 (COVID-19); Environmental health; Pandemic; Transmission (telecommunications); Risk assessment; Business; Medicine; Geography; Engineering; Virology; Telecommunications; Computer science; Computer security","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":[0.001237942,0.0004269072,0.0003650151,0.01159361,0.001890611,0.001539216,0.0009030892,0.0002857097,0.001496431],"category_scores_gemma":[0.005829005,0.0002779393,0.000479334,0.01156904,0.0004138286,0.0004620996,0.001208547,0.0004610113,0.0002003823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01239234,"about_ca_system_score_gemma":0.02115647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9733401,"about_ca_topic_score_gemma":0.9705743,"domain_scores_codex":[0.9985929,0.0001103117,0.0001442613,0.0001502043,0.0006551477,0.0003471297],"domain_scores_gemma":[0.990226,0.0007027437,0.001832054,0.0001700688,0.006246664,0.0008225275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002006144,0.00005290053,0.9769685,0.0001941366,0.00008842299,0.0001766232,0.001174828,0.0001978618,0.0004123519,0.0001231623,0.003509735,0.0169008],"study_design_scores_gemma":[0.00000336442,0.00002746131,0.9952107,0.0000795958,0.00003043769,0.00006682011,0.002006406,0.0003969308,0.0001680531,0.00001060429,0.001991243,0.000008514106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460942,0.001568701,0.0005248439,0.0003119326,0.00002691859,0.0002917342,0.04545029,0.00007651407,0.005654695],"genre_scores_gemma":[0.9700961,0.001971874,0.001370944,0.0001847673,0.00002887953,0.0001941114,0.02370273,0.00002716823,0.002423412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02665991,"threshold_uncertainty_score":0.08991313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01592881682720401,"score_gpt":0.2755140073867858,"score_spread":0.2595851905595818,"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."}}