{"id":"W4396218340","doi":"10.17269/s41997-024-00887-5","title":"Responding to and managing multijurisdictional outbreaks of COVID-19 in Canadian industrial worksite/work camp settings","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Outbreak; Pandemic; Public health; Work (physics); Environmental health; Business; Coronavirus disease 2019 (COVID-19); Medicine; Nursing; Engineering; Disease; Virology; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.003497411,0.00009381426,0.0002809967,0.005091281,0.0001554363,0.00009575865,0.00005746274,0.0001173899,0.0001905683],"category_scores_gemma":[0.001500739,0.00009240128,0.0000597366,0.001571485,0.00003931574,0.0001841724,0.00000561894,0.0005208785,0.000003819872],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003473408,"about_ca_system_score_gemma":0.03422083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5065253,"about_ca_topic_score_gemma":0.7689847,"domain_scores_codex":[0.9983934,0.0001525369,0.000582447,0.0001446503,0.0001878827,0.0005390617],"domain_scores_gemma":[0.9949286,0.0001407733,0.0001417398,0.00007705228,0.000142869,0.004568972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009506714,0.00001400664,0.8539027,0.0001995651,0.00009237407,0.0005129166,0.008699415,0.0003571056,0.00001156944,0.003661616,0.02337419,0.1090795],"study_design_scores_gemma":[0.001371695,0.0002481539,0.2200289,0.0008904784,0.00002088015,0.0005097785,0.001153596,0.0012207,0.000001395553,0.000095197,0.7743456,0.0001136285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713353,0.001913251,0.004911209,0.2764037,0.001866543,0.000506912,0.0000709157,0.0000176983,0.0009567144],"genre_scores_gemma":[0.9942319,0.00001859619,0.000175048,0.004666858,0.0005552759,0.000002671232,0.00001187334,0.00001392468,0.0003238384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7509714,"threshold_uncertainty_score":0.9712542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05429629177095596,"score_gpt":0.332955756901214,"score_spread":0.2786594651302581,"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."}}