{"id":"W4321514096","doi":"10.2196/34163","title":"Demographic Determinants and Geographical Variability of COVID-19 Vaccine Hesitancy in Underserved Communities: Cross-sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; Centene Corporation; Quest Diagnostics","keywords":"Demography; Ethnic group; Logistic regression; Population; Odds; Geography; Public health; Cross-sectional study; Odds ratio; Medicine; Gerontology; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008749082,0.0001483463,0.0004433625,0.0004271705,0.000888306,0.0001258644,0.000235188,0.0001434615,0.00005794688],"category_scores_gemma":[0.001089593,0.0001471302,0.00005333213,0.001710485,0.0001349868,0.0002708534,0.0001081871,0.0002609383,0.000001277275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007975706,"about_ca_system_score_gemma":0.001035959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009476004,"about_ca_topic_score_gemma":0.1283328,"domain_scores_codex":[0.9961126,0.001878835,0.0006693529,0.0003399603,0.0003722603,0.0006269882],"domain_scores_gemma":[0.9974363,0.00127396,0.0001713384,0.0002902554,0.0001397519,0.0006884013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005243418,0.0002099103,0.9894145,0.0002076968,0.00001022664,0.000005627135,0.008138203,0.00000108889,1.982191e-7,0.001235701,0.000133639,0.000590847],"study_design_scores_gemma":[0.001287357,0.0001980542,0.9850786,0.000006418818,3.377664e-7,0.000002421039,0.009266492,0.00007969928,9.743657e-9,0.001579301,0.002371516,0.0001297768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934455,0.0003438186,0.00003091703,0.004947772,0.0001124615,0.0008521635,0.00002775668,0.0001028089,0.0001368168],"genre_scores_gemma":[0.9979757,0.001198374,0.00001291576,0.0006077921,0.00005093282,0.00008399051,0.00001721987,0.000009611331,0.00004347745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1188568,"threshold_uncertainty_score":0.99712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07672492529929241,"score_gpt":0.3859520896521816,"score_spread":0.3092271643528892,"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."}}