{"id":"W4281684290","doi":"10.1007/s40615-022-01339-x","title":"Racial/Ethnic Inequity in Transit-Based Spatial Accessibility to COVID-19 Vaccination Sites","year":2022,"lang":"en","type":"article","venue":"Journal of Racial and Ethnic Health Disparities","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Chinese University of Hong Kong; Research Grants Council, University Grants Committee","keywords":"Vaccination; Metropolitan area; Geography; Coronavirus disease 2019 (COVID-19); Ethnic group; Demography; Medicine; Political science; Disease; Infectious disease (medical specialty); Sociology; Virology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008877702,0.0002049,0.0001996789,0.0008548036,0.0007617053,0.0008998399,0.0006805394,0.0005153765,0.0078756],"category_scores_gemma":[0.004809244,0.000226177,0.0008440893,0.001753427,0.0004468982,0.001055287,0.001481953,0.0007644788,0.000416645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007491393,"about_ca_system_score_gemma":0.0009044144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1236787,"about_ca_topic_score_gemma":0.1462183,"domain_scores_codex":[0.9989956,0.0002580221,0.00009116912,0.0002224964,0.0001008473,0.0003317417],"domain_scores_gemma":[0.9980773,0.0003450508,0.0008034692,0.000184729,0.0002754124,0.0003139967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001438591,0.0001134635,0.9946655,0.00002404218,0.000101333,0.0000244233,0.0007159504,0.0001179999,0.00009605625,0.0005949026,0.000572219,0.00283022],"study_design_scores_gemma":[0.000004486973,0.00005357092,0.9967114,0.00002696575,0.00004181492,0.00004081851,0.001973164,0.0004383905,0.0000453269,0.0001896618,0.0004693766,0.00000506232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953378,0.0001986248,0.0001702207,0.0002599788,0.00001879381,0.00001199914,0.001569705,0.00000514945,0.002427644],"genre_scores_gemma":[0.9990916,0.00004703872,0.0000554792,0.00002355701,0.0000065974,0.000008182995,0.0003504943,0.000002331568,0.0004147019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1236787,"threshold_uncertainty_score":0.2459176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4154168850421261,"score_gpt":0.531887413713162,"score_spread":0.1164705286710359,"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."}}