{"id":"W4224303164","doi":"10.1016/j.ypmed.2022.107056","title":"Disparities in high schools' vaccination coverage (COVID-19). A natural experiment in the Province of Quebec","year":2022,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université Laval; Institut National de Santé Publique du Québec","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Ministère de la Santé et des Services sociaux","keywords":"Vaccination; Medicine; Disadvantaged; Demography; Coronavirus disease 2019 (COVID-19); Population; Pandemic; Environmental health; Immunology; Disease; Internal medicine; Economic growth; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001770208,0.00009256841,0.0002127742,0.0001654773,0.0002584168,0.00001332324,0.0004568178,0.00002414697,0.0008756133],"category_scores_gemma":[0.001093999,0.00006984879,0.00003802592,0.0004859381,0.00002917319,0.000213598,0.0001280311,0.0003029186,0.000001334587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006612202,"about_ca_system_score_gemma":0.0004562845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1220146,"about_ca_topic_score_gemma":0.1337031,"domain_scores_codex":[0.9977785,0.0009187034,0.0003103436,0.000197575,0.000580734,0.00021418],"domain_scores_gemma":[0.9992889,0.000291377,0.0001444137,0.0001924551,0.0000368856,0.00004601269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005441047,0.001301453,0.5287448,0.0002694271,0.00005391854,0.0003453792,0.2248881,0.000356766,0.0006043143,0.1913924,0.03731287,0.01418637],"study_design_scores_gemma":[0.004195644,0.0003947706,0.8594229,0.0001276912,0.00002865949,0.000002843935,0.07941595,0.00004616199,0.0001357628,0.03811442,0.01786472,0.0002504853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479395,0.004090145,0.0002391493,0.0441169,0.0003639876,0.00113501,0.000008266275,0.00001960465,0.002087513],"genre_scores_gemma":[0.9957122,0.0001383618,0.00001736473,0.00107183,0.0001195486,0.0002016934,0.0000170116,0.000005189026,0.0027168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3306781,"threshold_uncertainty_score":0.9587352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136520337382085,"score_gpt":0.3323413727833794,"score_spread":0.3109761694095585,"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."}}