{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003826829,0.0002193456,0.0003224532,0.0002832748,0.001230587,0.0001629441,0.0002047361,0.0001105533,0.0000316631],"category_scores_gemma":[0.0006721723,0.0002072339,0.00002801744,0.0007047933,0.0001923421,0.0008918316,0.00008681012,0.0004446996,0.000005517125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005728228,"about_ca_system_score_gemma":0.0004744841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5007448,"about_ca_topic_score_gemma":0.8640345,"domain_scores_codex":[0.9954881,0.002229437,0.0009232362,0.0003876305,0.0001932638,0.0007783315],"domain_scores_gemma":[0.9967686,0.001378712,0.0007285737,0.0004872016,0.0001309685,0.0005059618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001100901,0.0005160935,0.7713783,0.001546747,0.00001415398,0.000002094778,0.2065767,0.00007595796,9.11411e-8,0.01115728,0.0005787908,0.008043712],"study_design_scores_gemma":[0.0009202028,0.0004667071,0.8115709,0.00008396951,0.00001262334,0.00002088615,0.1805382,0.003372102,2.030285e-8,0.000983353,0.001892371,0.000138634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9016818,0.0008727443,0.001579563,0.09161225,0.0001832206,0.003191067,0.0003440161,0.0001307128,0.0004045699],"genre_scores_gemma":[0.9907424,0.0007297571,0.0003481427,0.004799874,0.00006028588,0.001323786,0.001810804,0.00003128772,0.0001536959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3632897,"threshold_uncertainty_score":0.9464804,"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."}}