{"id":"W4389335402","doi":"10.2196/44257","title":"Residential Segregation and County-Level COVID-19 Booster Coverage in the Deep South: Surveillance Report and Ecological Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Booster (rocketry); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Geography; Public health; Outbreak; Ecology; Medicine; Infectious disease (medical specialty); Virology; Biology; Engineering; Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008845061,0.0002091176,0.0002149814,0.001259291,0.0004850095,0.000460937,0.0004718009,0.0002067205,0.0006344196],"category_scores_gemma":[0.001915972,0.0002809801,0.0003712752,0.001799224,0.0003198967,0.0003994497,0.001137965,0.000294242,0.0001325322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007681546,"about_ca_system_score_gemma":0.0009646419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09013973,"about_ca_topic_score_gemma":0.1317734,"domain_scores_codex":[0.9995356,0.0001233582,0.00004644256,0.0001079779,0.00008524606,0.0001015196],"domain_scores_gemma":[0.9986507,0.0001340979,0.0006014403,0.0001170404,0.0002763862,0.0002203146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001520842,0.00001547347,0.9989479,0.00000861323,0.00001541186,0.00002079163,0.0001754337,0.00003276396,0.00006089034,0.00001173642,0.0001151693,0.0005807519],"study_design_scores_gemma":[0.000001660929,0.00002707868,0.998923,0.000007346783,0.000009854642,0.00006153011,0.0005502164,0.0001652644,0.00003402344,0.000009175635,0.0002089482,0.000001860728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978732,0.00008001208,0.0001607802,0.00003108033,0.000001799051,0.00001958667,0.001451594,0.000004036278,0.0003780945],"genre_scores_gemma":[0.9981422,0.00009159597,0.0002711855,0.00001830772,0.000002551941,0.00002967618,0.001289165,0.000001849213,0.0001534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09013973,"threshold_uncertainty_score":0.1792302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08101197586932042,"score_gpt":0.3706222016414604,"score_spread":0.28961022577214,"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."}}