{"id":"W3123525448","doi":"","title":"Excess Mortality, Institutionalization and Homelessness Among Status Indians in Canada","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Institutionalisation; Census; Demography; Indigenous; Excess mortality; Socioeconomic status; Mortality rate; Population; Geography; Medicine; Sociology; Biology","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":[0.0003792453,0.0002336967,0.0002671808,0.00312816,0.001978452,0.001122356,0.0007720797,0.0001798091,0.001370487],"category_scores_gemma":[0.001469909,0.0001694665,0.000349649,0.005280938,0.0005846457,0.0002825446,0.0009368571,0.0004420621,0.0001808345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01566378,"about_ca_system_score_gemma":0.02117731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959626,"about_ca_topic_score_gemma":0.9979513,"domain_scores_codex":[0.9995553,0.00002715258,0.00001959584,0.00003559108,0.0001928919,0.0001695512],"domain_scores_gemma":[0.9990624,0.00005268274,0.0001991433,0.00003414229,0.0004151658,0.0002364804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003479121,0.00002368709,0.9857884,0.00003200319,0.00004189076,0.0001010127,0.0009513263,0.0002648767,0.00009749606,0.0003233259,0.001724427,0.01061686],"study_design_scores_gemma":[0.000002679843,0.000006895418,0.996753,0.00002092795,0.00001654857,0.00003908838,0.001607449,0.0002892541,0.00005520858,0.00006353777,0.001137447,0.000007906345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989188,0.000784895,0.0001372241,0.0005704676,0.00001348676,0.0000228798,0.005612043,0.00002065765,0.003650486],"genre_scores_gemma":[0.9955488,0.001133931,0.000149758,0.00007697671,0.00000715103,0.000006638405,0.001917968,0.000004363299,0.001154445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01566378,"threshold_uncertainty_score":0.1136492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044087964493913,"score_gpt":0.3907241092635221,"score_spread":0.3402832296185829,"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."}}