{"id":"W4210438904","doi":"10.1177/15248399211072530","title":"A Health Equity Lens Contributes to an Effective Pandemic Response: A Canadian Regional Perspective","year":2022,"lang":"en","type":"article","venue":"Health Promotion Practice","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Regional Municipality of Durham; University of Toronto","funders":"","keywords":"Pandemic; Health equity; Public health; Equity (law); Psychological intervention; Economic growth; Coronavirus disease 2019 (COVID-19); Political science; Environmental health; Medicine; Development economics; Economics; Nursing; Disease","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.02990969,0.0002870837,0.0006118076,0.0008811473,0.009821063,0.00004380942,0.0003994927,0.0001868407,0.0007048071],"category_scores_gemma":[0.0104198,0.0003171912,0.00006883922,0.001635905,0.00006488021,0.000958176,0.0003076097,0.002487917,0.0003241401],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.03506614,"about_ca_system_score_gemma":0.04332679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7340277,"about_ca_topic_score_gemma":0.2765053,"domain_scores_codex":[0.9699959,0.02483643,0.001184694,0.0008445925,0.0007665787,0.002371808],"domain_scores_gemma":[0.9901208,0.00447408,0.001168118,0.0006933234,0.001249563,0.002294127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003982536,0.001931593,0.006450099,0.0006602933,0.0001102221,0.00001337355,0.2006677,0.0001304862,0.00003792056,0.1044965,0.6449328,0.03658647],"study_design_scores_gemma":[0.001064005,0.003576281,0.08748396,0.0001203038,0.00001119936,0.0000762187,0.07164717,0.0001063979,2.530626e-7,0.001213689,0.8344827,0.000217828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06165707,0.0006899079,0.0008783774,0.918437,0.003067163,0.01024143,0.0004155669,0.0003051127,0.004308389],"genre_scores_gemma":[0.6291261,0.0002190402,0.0007572229,0.3580882,0.0009010662,0.009086038,0.0002771484,0.00008097751,0.00146412],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5674691,"threshold_uncertainty_score":0.999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1920538189789928,"score_gpt":0.5761621397183723,"score_spread":0.3841083207393795,"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."}}