{"id":"W4391878696","doi":"10.32920/25233544.v1","title":"COVID-19 Pandemic and Poverty Among Urbanized Indigenous People in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health","funders":"","keywords":"Indigenous; Pandemic; Poverty; Racism; Public health; Social distance; Geography; Harm; Government (linguistics); Socioeconomics; Coronavirus disease 2019 (COVID-19); Economic growth; Political science; Sociology; Medicine; Gender studies","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004831407,0.0001796023,0.000296305,0.001113439,0.01274375,0.002182252,0.0006641105,0.0004189303,0.003558784],"category_scores_gemma":[0.001216857,0.0001801362,0.0002303527,0.002946912,0.002435479,0.0006425535,0.003135417,0.001033241,0.0001541204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03194667,"about_ca_system_score_gemma":0.05314023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947528,"about_ca_topic_score_gemma":0.9978247,"domain_scores_codex":[0.9993328,0.00006171759,0.00001199216,0.00003760529,0.0001412401,0.000414478],"domain_scores_gemma":[0.999199,0.00006574062,0.0001121468,0.00001606674,0.0002368377,0.0003702263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008723447,0.0001762988,0.4941395,0.0002334847,0.00003910971,0.001764011,0.4591053,0.0002175513,0.0005331344,0.003932538,0.009978089,0.02979379],"study_design_scores_gemma":[0.000004582009,0.00003156962,0.3984402,0.0001493267,0.0000140357,0.0001928028,0.5891112,0.0001298106,0.0000734049,0.0002998001,0.01152973,0.00002362802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878125,0.0005595383,0.00003276358,0.001913145,0.00002329771,0.00003394692,0.0003745723,0.000003232215,0.009247111],"genre_scores_gemma":[0.9949892,0.001035713,0.00006370176,0.0003582722,0.000008978639,0.00001832841,0.000125129,0.00000384398,0.003396851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03194667,"threshold_uncertainty_score":0.2317904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1555154954693591,"score_gpt":0.4386838008039415,"score_spread":0.2831683053345824,"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."}}