{"id":"W3122103083","doi":"10.1007/s40615-020-00940-2","title":"Structural Inequalities Established the Architecture for COVID-19 Pandemic Among Native Americans in Arizona: a Geographically Weighted Regression Perspective","year":2021,"lang":"en","type":"article","venue":"Journal of Racial and Ethnic Health Disparities","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Inequality; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Geographically Weighted Regression; 2019-20 coronavirus outbreak; Health equity; Perspective (graphical); Population; Demography; Public health; Medicine; Sociology; Virology; Mathematics; Disease; Statistics; Outbreak; Pathology","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":[0.003303485,0.00047321,0.0005260991,0.001745297,0.001725112,0.001996638,0.001578177,0.0009808252,0.006198392],"category_scores_gemma":[0.009068191,0.0004883768,0.001158229,0.001844918,0.001428746,0.001559094,0.001961369,0.001970784,0.0002045568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00197946,"about_ca_system_score_gemma":0.003289934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2951445,"about_ca_topic_score_gemma":0.3607368,"domain_scores_codex":[0.9982893,0.0005994923,0.00007421782,0.0004948768,0.000129236,0.0004128375],"domain_scores_gemma":[0.9964684,0.001068915,0.0008038764,0.0006269319,0.0005934698,0.0004384347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000854131,0.0001017701,0.9807578,0.00001622286,0.0003879715,0.0000720915,0.001278449,0.001173321,0.000188167,0.009950573,0.0009986936,0.00498957],"study_design_scores_gemma":[0.00001077755,0.00007047744,0.9695864,0.00005985599,0.0004365687,0.00005574214,0.00646837,0.01384515,0.0001916545,0.007747401,0.001498315,0.00002939139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897377,0.0005762376,0.00268191,0.00302808,0.00005561107,0.00003264956,0.0007621446,0.00003119391,0.003094502],"genre_scores_gemma":[0.9989411,0.00005822305,0.0003804238,0.00006773104,0.00002248572,0.000005896205,0.0001506385,0.000005606295,0.0003678449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2951445,"threshold_uncertainty_score":0.5868532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09746894100729372,"score_gpt":0.4191649826860601,"score_spread":0.3216960416787663,"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."}}