{"id":"W4388499523","doi":"10.1111/roiw.12662","title":"A Decomposition of Economic Vulnerability Among Indigenous and Non‐Indigenous Adults in Canada","year":2023,"lang":"en","type":"article","venue":"Review of Income and Wealth","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"U.S. Department of Agriculture","keywords":"Indigenous; Earnings; Economics; Demographic economics; Distribution (mathematics); Vulnerability (computing); Labour economics","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":[0.0009481542,0.0005042765,0.0005872191,0.005226969,0.00217281,0.001722252,0.001279977,0.0003297384,0.002602395],"category_scores_gemma":[0.002752707,0.0003097529,0.001304159,0.009817634,0.0004986221,0.0004746719,0.001648884,0.0006053792,0.0002273206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03199178,"about_ca_system_score_gemma":0.05498237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975097,"about_ca_topic_score_gemma":0.9981833,"domain_scores_codex":[0.9991899,0.00005027136,0.00005791553,0.00009989792,0.0002621436,0.0003398523],"domain_scores_gemma":[0.9980921,0.0001033247,0.0002628313,0.0000511496,0.001076816,0.0004137319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009799709,0.00003700324,0.9716886,0.0002643288,0.0003477696,0.0001494923,0.001828577,0.0006749416,0.0001513631,0.001252837,0.004822755,0.01868433],"study_design_scores_gemma":[0.000003629787,0.00000877667,0.9948455,0.0001054447,0.00006254528,0.0000248824,0.002075461,0.0006881094,0.00003246428,0.0001000264,0.002041308,0.00001195999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949348,0.007413764,0.0004182931,0.00106236,0.0000420877,0.0001410408,0.03418747,0.00003650932,0.007350447],"genre_scores_gemma":[0.9835459,0.004098928,0.000600561,0.0001244338,0.00001329538,0.00007037092,0.009032407,0.000009977121,0.002504184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03199178,"threshold_uncertainty_score":0.2321177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736543625552003,"score_gpt":0.3682785914582749,"score_spread":0.3509131552027548,"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."}}