{"id":"W4405500434","doi":"10.3390/idr16060098","title":"Infection Rate and Risk Factors of SARS-CoV-2 Infection in Retail Workers at the Onset of the COVID-19 Pandemic, Quebec, Canada","year":2024,"lang":"en","type":"article","venue":"Infectious Disease Reports","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Université Laval; Université de Montréal; PROTEO; University of Ottawa; Institut National de Santé Publique du Québec","funders":"Public Health Agency of Canada","keywords":"Medicine; Pandemic; Metropolitan area; Public health; Socioeconomic status; Demography; Retrospective cohort study; Risk of infection; Coronavirus disease 2019 (COVID-19); Environmental health; Disease; Infectious disease (medical specialty); Internal medicine; Population; Nursing","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":[0.0003582093,0.0003030323,0.0002140259,0.0006884398,0.001632268,0.0008428037,0.0006768765,0.0003915631,0.003433469],"category_scores_gemma":[0.0008118157,0.0002280039,0.0003133009,0.001118188,0.0004149411,0.0002661128,0.0003322604,0.0005684323,0.0002844683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007324976,"about_ca_system_score_gemma":0.005684126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9698513,"about_ca_topic_score_gemma":0.9758459,"domain_scores_codex":[0.9997028,0.00002521584,0.00001573088,0.00006699778,0.00008109469,0.0001082205],"domain_scores_gemma":[0.9990065,0.00005719858,0.0002528507,0.00002989252,0.0003870282,0.0002666157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003209667,0.0000160749,0.9984875,0.000005929156,0.00001031635,0.00003476238,0.0001372741,0.00003176045,0.0001261916,0.000009384496,0.0002786163,0.0008300869],"study_design_scores_gemma":[0.000002289118,0.00001908185,0.9990019,0.000008933332,0.000005101046,0.000031762,0.0005523642,0.0001364212,0.00002386909,0.000004240838,0.0002104619,0.000003717413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967982,0.0003344947,0.00008191918,0.0001034197,0.000008192679,0.00002261631,0.001593438,0.000005810433,0.001051879],"genre_scores_gemma":[0.9986583,0.0001208459,0.00006899062,0.0000296873,0.000003109065,0.000007238934,0.0005223303,0.000001946609,0.0005874916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03014874,"threshold_uncertainty_score":0.06065255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05077397339215083,"score_gpt":0.3647599971765182,"score_spread":0.3139860237843674,"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."}}