{"id":"W4386789435","doi":"10.33137/utjph.v4i2.39209","title":"Assessing the Intersectionality of Risk Factors and Health Disparities in Canadian COVID-19 Vaccine Allocation","year":2023,"lang":"en","type":"article","venue":"University of Toronto Journal of Public Health","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Dalhousie University; Western University","funders":"","keywords":"Health equity; Equity (law); Public health; Health care; Socioeconomic status; Pandemic; Business; Economic growth; Environmental health; Political science; Medicine; Disease; Coronavirus disease 2019 (COVID-19); Infectious disease (medical specialty); Nursing; Population; Economics","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":[0.0055277,0.0005477058,0.000613405,0.002932737,0.004450644,0.002042617,0.001904461,0.0006894981,0.002781358],"category_scores_gemma":[0.01513205,0.0003202357,0.001456049,0.00531814,0.00111757,0.0007922669,0.003268931,0.001196012,0.0001247913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04096669,"about_ca_system_score_gemma":0.09630058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9923791,"about_ca_topic_score_gemma":0.9940222,"domain_scores_codex":[0.996217,0.0005731339,0.0002281481,0.0004462956,0.001302547,0.001232956],"domain_scores_gemma":[0.994781,0.0008309124,0.001001114,0.0002018285,0.002227644,0.000957548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001140205,0.00007478117,0.968142,0.0001884242,0.0002169998,0.00005147856,0.003023987,0.0004238424,0.00006502389,0.002607936,0.003622415,0.02146898],"study_design_scores_gemma":[0.00002535721,0.00007488365,0.9799476,0.0004565733,0.0002918694,0.0000508407,0.008566548,0.003432009,0.0001651756,0.0009170629,0.006011765,0.0000604492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971807,0.003256828,0.001309073,0.003918883,0.00007838128,0.0003278874,0.007152877,0.00002534602,0.01212369],"genre_scores_gemma":[0.9947917,0.000828309,0.001572058,0.0003682699,0.00001134729,0.0001098943,0.001713187,0.000007863487,0.0005972945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04096669,"threshold_uncertainty_score":0.2972355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1668282040242395,"score_gpt":0.4639243531651998,"score_spread":0.2970961491409603,"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."}}