{"id":"W4386542066","doi":"10.3389/fpubh.2023.1232507","title":"COVID-19 vaccine equity: a retrospective population-based cohort study examining primary series and first booster coverage among persons with a history of immigration and other residents of Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Ministry of Health, British Columbia; Institute for Clinical Evaluative Sciences","keywords":"Booster (rocketry); Immigration; Equity (law); Medicine; Cohort; Population; Cohort study; Retrospective cohort study; Demography; Pandemic; Coronavirus disease 2019 (COVID-19); Family medicine; Geography; Gerontology; Environmental health; Political science; Disease; Infectious disease (medical specialty); Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000807029,0.0004112026,0.0004158554,0.001125002,0.002056067,0.00100287,0.001167729,0.0005224526,0.001271237],"category_scores_gemma":[0.001315558,0.0006194761,0.0006207378,0.0029022,0.0007065873,0.0005983236,0.0009280925,0.0006328434,0.0003107068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008524327,"about_ca_system_score_gemma":0.009018456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9236577,"about_ca_topic_score_gemma":0.9436021,"domain_scores_codex":[0.9990692,0.00005691264,0.00007160754,0.0002575015,0.000257939,0.0002868938],"domain_scores_gemma":[0.9986911,0.00005891462,0.0004421269,0.0001152709,0.0003951308,0.0002973501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003397862,0.00002143577,0.9991733,0.000008070861,0.00002651429,0.00002986249,0.0001483737,0.00001213752,0.00006234249,0.00001023203,0.000204223,0.0002694533],"study_design_scores_gemma":[0.000006511338,0.0000375815,0.9991149,0.00001055969,0.00001760909,0.00004623727,0.0004053692,0.00007325214,0.00002138429,0.000005764436,0.0002570135,0.00000382056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923635,0.0001926579,0.00009529994,0.00007476035,0.000006397669,0.00009477435,0.006459371,0.000006574423,0.0007067517],"genre_scores_gemma":[0.9964828,0.0001542111,0.0001206595,0.00009051126,0.000006369231,0.00005998562,0.002618405,0.0000030912,0.0004638284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07634234,"threshold_uncertainty_score":0.1535838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024377551017463,"score_gpt":0.2790496230215518,"score_spread":0.2488058475113772,"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."}}