{"id":"W4294243576","doi":"10.23889/ijpds.v7i3.1947","title":"Documenting First Nations Access to COVID Vaccines: A whole-population linked administrative data study.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; First Nations Health and Social Secretariat of Manitoba; Manitoba Health","funders":"","keywords":"Confounding; Vaccination; Medicine; Public health; Demography; Population; Coronavirus disease 2019 (COVID-19); Cohort study; Cohort; Environmental health; Virology; Internal medicine; Disease","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":[0.002473942,0.0007340092,0.0004698856,0.002024743,0.001559355,0.001023807,0.00135984,0.0007328811,0.002168508],"category_scores_gemma":[0.004903944,0.001004027,0.0008390377,0.003658896,0.0003762433,0.0009266333,0.001607241,0.001398301,0.0008577993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002382798,"about_ca_system_score_gemma":0.003329702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2370019,"about_ca_topic_score_gemma":0.2922005,"domain_scores_codex":[0.9987246,0.0003530422,0.0001900333,0.0002878501,0.0002483222,0.0001960326],"domain_scores_gemma":[0.9964031,0.0002984738,0.001658646,0.0005040794,0.0006762422,0.0004594622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001167882,0.000092063,0.9942924,0.0001137431,0.0001118725,0.00009051337,0.00054618,0.00005681256,0.0001582266,0.00007394648,0.0028666,0.001480872],"study_design_scores_gemma":[0.00003953575,0.00008198593,0.9958377,0.00009788513,0.00006307686,0.000166347,0.000992503,0.0001886039,0.00007744141,0.00003680479,0.002401201,0.00001683919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038324,0.0007942859,0.0007595922,0.0004268038,0.00006908325,0.0006783291,0.09120538,0.00002775732,0.002206383],"genre_scores_gemma":[0.9254552,0.0008009272,0.003444824,0.0006264065,0.00005840625,0.002601771,0.0644168,0.00002993458,0.002565938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7629981,"threshold_uncertainty_score":0.4712448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.210633301069686,"score_gpt":0.5016303648226748,"score_spread":0.2909970637529887,"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."}}