{"id":"W4285735544","doi":"10.1016/j.econmod.2022.105962","title":"COVID-19 and Indigenous health in the Brazilian Amazon","year":2022,"lang":"en","type":"article","venue":"Economic Modelling","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Indigenous; Amazon rainforest; Pandemic; Prenatal care; Ethnic group; Inequality; Health care; Geography; Health equity; Demography; Coronavirus disease 2019 (COVID-19); Medicine; Socioeconomics; Environmental health; Economic growth; Political science; Sociology; Economics; Population","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":[0.001108566,0.0002379872,0.000303949,0.0004927494,0.0007142298,0.00132753,0.0005879413,0.0002701225,0.004433812],"category_scores_gemma":[0.004361655,0.0001402016,0.0004249415,0.001059762,0.0005896225,0.0005124396,0.001320433,0.0006392764,0.000116112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004897201,"about_ca_system_score_gemma":0.003547498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3424985,"about_ca_topic_score_gemma":0.4115918,"domain_scores_codex":[0.9994562,0.0002835471,0.00001508892,0.00003204376,0.00005259897,0.0001604814],"domain_scores_gemma":[0.9987096,0.0007031789,0.0001719583,0.00004947177,0.0001534877,0.0002124256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002164637,0.0004846968,0.7684363,0.0004483862,0.0003021739,0.001017977,0.01095686,0.02098715,0.000283323,0.1422766,0.002908511,0.05168147],"study_design_scores_gemma":[0.00005331097,0.0003099539,0.77323,0.001145407,0.0003456217,0.0008563328,0.05173152,0.09718052,0.0002643456,0.03661533,0.03821282,0.00005480213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570736,0.001372005,0.001509783,0.003696123,0.00002848406,0.00003731309,0.0007853995,0.00001632995,0.03548086],"genre_scores_gemma":[0.9976593,0.0005518302,0.0005169544,0.00004536516,0.000007451488,0.00001379462,0.0001132095,0.000005850017,0.001086104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3424985,"threshold_uncertainty_score":0.6810099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682992244332274,"score_gpt":0.2937875891773446,"score_spread":0.2569576667340219,"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."}}