{"id":"W3083810494","doi":"10.3138/9781442609730-022","title":"Eighteen. Playing Catch-up with Ghosts: Income Assistance for First Nations on Reserve","year":2015,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003776885,0.0005102842,0.0001859718,0.0004303189,0.006462431,0.002393635,0.0004422033,0.00150331,0.04116667],"category_scores_gemma":[0.0005890996,0.0002296459,0.0001038993,0.0005968698,0.0023664,0.002142121,0.001982196,0.002286057,0.004888787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003184198,"about_ca_system_score_gemma":0.006353032,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2225915,"about_ca_topic_score_gemma":0.6822306,"domain_scores_codex":[0.9998347,0.00003561744,0.000005399577,0.0000128503,0.00002904879,0.00008239817],"domain_scores_gemma":[0.9998779,0.00002686288,0.0000108943,0.000004980168,0.00002249638,0.00005688244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001656803,0.00002435424,0.00042247,0.0001402348,0.000001789409,0.0002433062,0.03603689,0.00004079898,0.0001377105,0.0750681,0.813472,0.07439575],"study_design_scores_gemma":[0.0000018634,0.000004769817,0.001053414,0.0001704298,0.000001300997,0.00004379262,0.008191811,0.00000521543,0.00002328707,0.001183452,0.9893172,0.000003401703],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00567476,0.05511732,0.0002657188,0.03243389,0.004490417,0.00004682841,0.0002271091,0.00008431815,0.9016597],"genre_scores_gemma":[0.03288231,0.01601197,0.0003257614,0.003393703,0.0003604939,0.00004920785,0.00006422862,0.00005972549,0.9468526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7774085,"threshold_uncertainty_score":0.4425917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03886950853458187,"score_gpt":0.2707019473295132,"score_spread":0.2318324387949314,"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."}}