{"id":"W3203225548","doi":"10.1503/cmaj.1095963","title":"Closing Canada’s COVID-19 vaccination gap","year":2021,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herd immunity; Coronavirus disease 2019 (COVID-19); Vaccination; Closing (real estate); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Medicine; Virology; Environmental health; Political science; Outbreak; Internal medicine; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00449489,0.00057435,0.0007644908,0.001682147,0.007643493,0.004051688,0.002063512,0.00536944,0.02868833],"category_scores_gemma":[0.01002313,0.000340688,0.000938796,0.001140088,0.002438887,0.002299981,0.004078886,0.005396425,0.002669988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05751942,"about_ca_system_score_gemma":0.2820363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722082,"about_ca_topic_score_gemma":0.9800988,"domain_scores_codex":[0.9946117,0.0003705149,0.000156235,0.0003840839,0.001900332,0.002577078],"domain_scores_gemma":[0.9818256,0.001249452,0.0003725837,0.0002673632,0.004884901,0.01140011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000211151,0.0001895294,0.01119418,0.0003102279,0.00004181885,0.0004040287,0.001031008,0.0003225661,0.0006691845,0.03675992,0.8723731,0.07649326],"study_design_scores_gemma":[0.0001433924,0.0001185954,0.04638086,0.0006552374,0.00003618632,0.0001487378,0.001682056,0.000829228,0.0003651819,0.004495602,0.9450797,0.00006528681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03161099,0.01162788,0.001209549,0.8497072,0.01031391,0.0001401326,0.007695522,0.0005178743,0.08717689],"genre_scores_gemma":[0.3587184,0.009654138,0.005162429,0.5276992,0.002791905,0.0002501335,0.005737042,0.0003127307,0.08967415],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05751942,"threshold_uncertainty_score":0.4173346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928865821253813,"score_gpt":0.2951907174968552,"score_spread":0.2759020592843171,"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."}}