{"id":"W4385264871","doi":"10.1001/jamanetworkopen.2023.25636","title":"COVID-19 Vaccine Uptake in Immigrant, Refugee, and Nonimmigrant Children and Adolescents in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Refugee; Immigration; Vaccination; Demography; Pediatrics; Population; Cohort; Cohort study; Environmental health; Immunology; Geography","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":[0.001391238,0.0001538383,0.0003286987,0.00009281732,0.0003475739,0.0002275447,0.0004288871,0.0001149034,0.0001796397],"category_scores_gemma":[0.0001846731,0.0001536625,0.00002011636,0.0007700216,0.00001229799,0.0003254243,0.0003165341,0.0003083956,0.000006251418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000520717,"about_ca_system_score_gemma":0.001775532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981464,"about_ca_topic_score_gemma":0.9999694,"domain_scores_codex":[0.9982477,0.0001992168,0.0003338328,0.0004009035,0.0002344425,0.0005838837],"domain_scores_gemma":[0.9992681,0.0001077445,0.00008343552,0.0001833846,0.00001996074,0.0003373974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001248284,0.00001690357,0.9397275,0.000009447503,0.000009512978,0.0001223448,0.004393504,0.0001200048,6.611737e-7,0.0002486284,0.05298831,0.002238354],"study_design_scores_gemma":[0.001922898,0.00001960995,0.9244776,0.000167268,0.000006753429,0.000003225595,0.0005040038,0.00003539031,2.183798e-7,0.0004457694,0.0722378,0.000179418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894506,0.0006670713,0.000001140804,0.007998647,0.0001468803,0.000787845,0.00001086772,0.00002345661,0.000913477],"genre_scores_gemma":[0.9946212,0.0008082784,0.00003058102,0.002771479,0.0001800655,0.00002617435,0.00003267171,0.00001412783,0.001515407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0192495,"threshold_uncertainty_score":0.6266175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641054929110188,"score_gpt":0.278712302157251,"score_spread":0.2623017528661492,"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."}}