{"id":"W3210107672","doi":"10.1136/oem-2021-epi.267","title":"P-305 A media surveillance analysis of COVID-19 workplace outbreaks in Canada and the United States","year":2021,"lang":"en","type":"article","venue":"Poster presentations","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Outbreak; Coronavirus disease 2019 (COVID-19); Environmental health; Transmission (telecommunications); Public health; Business; Medicine; Social media; Family medicine; Nursing; Political science; Computer science; Telecommunications; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004759307,0.00008736482,0.0003663648,0.0004116458,0.00005285413,0.00004076522,0.0001339276,0.00002978056,0.000246314],"category_scores_gemma":[0.001913149,0.00008342102,0.00005615109,0.001899755,0.00008633313,0.0000781231,0.00008327169,0.00009788745,0.000003390628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180853,"about_ca_system_score_gemma":0.0004900884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9442791,"about_ca_topic_score_gemma":0.9828679,"domain_scores_codex":[0.998924,0.0001164735,0.0004943976,0.0002269554,0.00005693039,0.0001812926],"domain_scores_gemma":[0.9968946,0.002424035,0.0002208802,0.0003004819,0.00005195639,0.0001080641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003037825,0.00001356839,0.9759434,0.00001937219,0.000243025,0.000007627463,0.006056695,0.01433307,0.000001237914,0.002435471,0.0008815897,0.00003460898],"study_design_scores_gemma":[0.001665977,0.000003104437,0.9616057,0.000004298004,0.00005948039,0.000002744226,0.0020324,0.02621362,0.00001292221,0.003258999,0.005005339,0.0001354348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978696,0.00114953,0.001641808,0.01625141,0.0001176719,0.000182032,0.001144295,0.000008485895,0.000808702],"genre_scores_gemma":[0.9958362,0.0003406679,0.00004016351,0.003159825,0.000009782417,0.00001803219,0.0003590496,0.000007484756,0.000228795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03858874,"threshold_uncertainty_score":0.3401811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015092840836707,"score_gpt":0.2775104928641112,"score_spread":0.2373595644557441,"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."}}