{"id":"W2947429099","doi":"","title":"Measuring off-reserve aboriginal poverty and income inequality in Canada","year":2012,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poverty; Inequality; Economic inequality; Economics; Geography; Development economics; Demographic economics; Economic growth; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001124565,0.0002270283,0.000507749,0.0001861597,0.0004699539,0.00002632231,0.0004951011,0.0002868719,0.0000598574],"category_scores_gemma":[0.0001082315,0.0002922831,0.00008426774,0.0003488572,0.0001125512,0.0005256183,0.00006647919,0.000431207,0.00000779332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001802569,"about_ca_system_score_gemma":0.002496125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974065,"about_ca_topic_score_gemma":0.9999914,"domain_scores_codex":[0.9976409,0.0004567454,0.0002105477,0.0003273436,0.0008701265,0.000494318],"domain_scores_gemma":[0.9987708,0.0001396931,0.0003676255,0.0002693492,0.0002359931,0.0002165881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001467835,0.00005265495,0.9876969,0.0003347202,0.00004143657,0.00002491626,0.006282239,0.000002869239,0.00002525331,0.003080068,0.001345226,0.0009669483],"study_design_scores_gemma":[0.0003743691,0.00001572406,0.8870934,0.0001447043,0.00004322624,2.776325e-7,0.08723357,0.00001995517,0.00001636264,0.0001704565,0.02458641,0.0003015537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690263,0.0004979328,0.000004978212,0.000514987,0.0007814371,0.0002422363,0.00007499228,0.00002275335,0.02883443],"genre_scores_gemma":[0.9978335,0.0005508167,0.00006231904,0.00005141045,0.0001326803,4.394128e-7,0.00008261486,0.00001426595,0.001271954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1006035,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03119417293033283,"score_gpt":0.2591101516447166,"score_spread":0.2279159787143837,"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."}}