{"id":"W3134408921","doi":"10.3138/cpp.2020-138","title":"COVID-19 Health Precautions: Identifying Demographic and Socio-Economic Disparities and Changes over Time","year":2021,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Health equity; Pandemic; Medicine; Environmental health; Geography; Virology; Public health; Outbreak; Nursing; Infectious disease (medical specialty); Disease; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001275262,0.0003574779,0.0003312331,0.001878254,0.001325857,0.0008536092,0.0009443689,0.0004254964,0.00144094],"category_scores_gemma":[0.003733032,0.0001947327,0.0007926308,0.004073109,0.0003302106,0.0004344002,0.001300048,0.0006751572,0.0002168987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005247539,"about_ca_system_score_gemma":0.01264076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9477627,"about_ca_topic_score_gemma":0.9653537,"domain_scores_codex":[0.9986576,0.0001326769,0.0000794203,0.000172021,0.0005402265,0.0004180711],"domain_scores_gemma":[0.9985097,0.0001028092,0.000454767,0.0000836831,0.000593592,0.0002552993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002813816,0.00003714602,0.9873596,0.00005216329,0.00006040444,0.00001855683,0.0004406998,0.0001067154,0.00006914237,0.0001473384,0.001670615,0.01000942],"study_design_scores_gemma":[0.000001639695,0.00001290441,0.9981619,0.00003195712,0.0000147979,0.00001240778,0.0004788835,0.0002606398,0.00003811276,0.00002972205,0.000952596,0.000004500807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703122,0.001726456,0.0008816489,0.00151327,0.00004692767,0.0001745695,0.01843215,0.00003204819,0.006880599],"genre_scores_gemma":[0.9873547,0.001050634,0.001553246,0.000269422,0.00002574907,0.0001285001,0.008543965,0.0000101973,0.001063506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05223727,"threshold_uncertainty_score":0.1050898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2234990531572159,"score_gpt":0.4222974476621424,"score_spread":0.1987983945049266,"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."}}