{"id":"W4313898331","doi":"10.1177/15248399221142898","title":"COVID-19 Disparities Among Arab, Middle Eastern, and West Asian Populations in Toronto: Implications for Improving Health Equity Among Middle Eastern and North African Communities in the United States","year":2023,"lang":"en","type":"article","venue":"Health Promotion Practice","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Middle East; Ethnic group; Public health; Health equity; Middle East respiratory syndrome coronavirus; Geography; Demography; Equity (law); Socioeconomics; Medicine; Coronavirus disease 2019 (COVID-19); Economic growth; Political science; Disease; Sociology; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009762336,0.0002953432,0.0002761345,0.001027372,0.002890509,0.00150945,0.00075766,0.000284074,0.003266426],"category_scores_gemma":[0.002836368,0.0001949086,0.0004193,0.002118618,0.000988199,0.0007669309,0.002004824,0.0006756339,0.0001703364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01946871,"about_ca_system_score_gemma":0.03769364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9664414,"about_ca_topic_score_gemma":0.9806947,"domain_scores_codex":[0.9991401,0.0001649507,0.00004885402,0.00007245519,0.0001343865,0.0004392863],"domain_scores_gemma":[0.9975255,0.0001896436,0.0004967201,0.00007184344,0.000515637,0.001200722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009077565,0.00005048197,0.9600081,0.0002773939,0.00007597403,0.0002611628,0.009309261,0.0001760375,0.0003361184,0.001021675,0.00752922,0.02086368],"study_design_scores_gemma":[0.000007651958,0.00002670717,0.9791958,0.0003339608,0.0000381566,0.00006868155,0.01708725,0.0001991064,0.00009752572,0.0002505056,0.002679754,0.00001485099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719718,0.004702818,0.000287858,0.01043348,0.00009161268,0.0001250977,0.004249176,0.00002332885,0.008114847],"genre_scores_gemma":[0.9951108,0.00233984,0.000334192,0.0007879495,0.0000311343,0.00005612865,0.0007500154,0.000005530377,0.0005844636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03355861,"threshold_uncertainty_score":0.141256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2673044804853896,"score_gpt":0.4582038877024568,"score_spread":0.1908994072170673,"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."}}