{"id":"W3202075491","doi":"10.3389/ijph.2021.1604004","title":"The Magnitude of Black/Hispanic Disparity in COVID-19 Mortality Across United States Counties During the First Waves of the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institutes of Health; Alberta Machine Intelligence Institute; American Lebanese Syrian Associated Charities","keywords":"Demography; Poisson regression; Coronavirus disease 2019 (COVID-19); Pandemic; Mortality rate; Medicine; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Environmental health; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009062073,0.000128662,0.0001278724,0.0006529724,0.0002851762,0.0003576552,0.0002084863,0.00017343,0.001042117],"category_scores_gemma":[0.001921296,0.0001130406,0.0002505367,0.0004852929,0.0002053712,0.0003061678,0.0006230218,0.0002614046,0.0001141753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003925863,"about_ca_system_score_gemma":0.0004056761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222594,"about_ca_topic_score_gemma":0.03642739,"domain_scores_codex":[0.9995617,0.0001563093,0.00002673663,0.00009519817,0.00006950885,0.00009060375],"domain_scores_gemma":[0.9992514,0.00008922088,0.0003889556,0.000036012,0.0001519335,0.00008248514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006436217,0.00001469576,0.9939618,0.00001615353,0.00005821595,0.00002906447,0.0002366868,0.0002301662,0.000264954,0.0001181933,0.0007935666,0.004212127],"study_design_scores_gemma":[0.000002333084,0.00001850266,0.998353,0.00001305281,0.00001297303,0.00003741778,0.0005870695,0.0003161607,0.00009678342,0.00005600572,0.000503499,0.000003118584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965826,0.0002992268,0.0003271119,0.0003388984,0.00001087323,0.00001253797,0.001271156,0.00000907895,0.001148608],"genre_scores_gemma":[0.9989014,0.0001128525,0.0001525377,0.00009081136,0.00001024193,0.00001332009,0.0005661773,0.000002858881,0.000149778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0222594,"threshold_uncertainty_score":0.04425973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505925285840032,"score_gpt":0.4632808771639084,"score_spread":0.3126883485799052,"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."}}