{"id":"W4309829711","doi":"10.1093/cjres/rsac043","title":"COVID-19 vaccines: a geographic, social and policy view of vaccination efforts in Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Cambridge Journal of Regions Economy and Society","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Vaccination; Disadvantaged; Pandemic; Equity (law); Coronavirus disease 2019 (COVID-19); Political science; Economic growth; Public health; Medicine; Infectious disease (medical specialty); Virology; Disease; 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":[0.00185819,0.0003030586,0.0003299765,0.002420187,0.01197003,0.004721061,0.00154358,0.001143342,0.004495298],"category_scores_gemma":[0.003970665,0.0004029046,0.0004076221,0.004731121,0.005227899,0.001645401,0.002090995,0.001783999,0.0002125653],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.3167284,"about_ca_system_score_gemma":0.3577155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992913,"about_ca_topic_score_gemma":0.9995097,"domain_scores_codex":[0.9971941,0.0003772069,0.0001007539,0.0001838453,0.0008830002,0.001261074],"domain_scores_gemma":[0.993311,0.0007553191,0.0006167487,0.0001016865,0.002328356,0.002886826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003301414,0.0001581629,0.3023601,0.001872929,0.0002946453,0.002427606,0.1097937,0.006526646,0.001798404,0.2624353,0.1969393,0.1150631],"study_design_scores_gemma":[0.00004758415,0.00008094708,0.4770166,0.001661633,0.0001479741,0.0002830024,0.09803741,0.002001634,0.0003676161,0.009365394,0.4107921,0.0001980279],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3661258,0.03903856,0.001855102,0.3430375,0.0006061044,0.0002719317,0.006856666,0.0001156338,0.2420928],"genre_scores_gemma":[0.9587077,0.01382921,0.0009806217,0.00683156,0.0001186784,0.00007195166,0.0006632836,0.00004152362,0.01875555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167284,"threshold_uncertainty_score":0.7924982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08704690374637661,"score_gpt":0.3432075278395063,"score_spread":0.2561606240931297,"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."}}