{"id":"W4296444899","doi":"10.1016/j.pmedr.2022.101993","title":"Pandemic fatigue or enduring precautionary behaviours? Canadians’ long-term response to COVID-19 public health measures","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Public Health Ontario; University of Toronto; University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; Canadian Heritage; Public Health Agency of Canada; University of Guelph","keywords":"Odds; Odds ratio; Context (archaeology); Demography; Medicine; Public health; Incidence (geometry); Logistic regression; Pandemic; Coronavirus disease 2019 (COVID-19); Confidence interval; Environmental health; Disease; Geography; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001700605,0.0002267012,0.0004206692,0.0007434998,0.002701157,0.001321563,0.001239083,0.0009293788,0.003498706],"category_scores_gemma":[0.007879025,0.0002914148,0.0007165215,0.001985754,0.0008503554,0.0006087379,0.0009438283,0.001826292,0.0002566399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01885662,"about_ca_system_score_gemma":0.0288426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890988,"about_ca_topic_score_gemma":0.990625,"domain_scores_codex":[0.9985852,0.0001490391,0.00007379793,0.0001724469,0.0003317158,0.0006877658],"domain_scores_gemma":[0.9952347,0.0003053627,0.001375305,0.0001592541,0.001540188,0.001385251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170548,0.00006340636,0.9815814,0.00008787005,0.0000746075,0.00005953932,0.003416909,0.0001053445,0.00008829594,0.0001829866,0.003721185,0.01050127],"study_design_scores_gemma":[0.000005060273,0.00002941716,0.9949469,0.00006166322,0.00001488251,0.00001779882,0.003202747,0.0001302213,0.00001600976,0.00003703484,0.00152474,0.00001358085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806488,0.001706431,0.0001022662,0.00642748,0.00008507503,0.00006186808,0.004632839,0.00001243933,0.006322764],"genre_scores_gemma":[0.9971014,0.0005663289,0.0001062813,0.0005012927,0.00001771348,0.00001963345,0.001087275,0.00000284682,0.0005973126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01885662,"threshold_uncertainty_score":0.136815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2625587301614942,"score_gpt":0.4811551908251405,"score_spread":0.2185964606636463,"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."}}