{"id":"W3122763925","doi":"","title":"Estimating Institutionalization and Homelessness for Status First Nations in Canada: A Method and Implications","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Institutionalisation; Census; Distortion (music); Population; Political science; Demographic economics; Demography; Economics; Sociology; Law","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":[0.006614557,0.0006679447,0.000712164,0.003985795,0.002807421,0.001968419,0.00240279,0.0005844491,0.002478427],"category_scores_gemma":[0.0283665,0.0003285865,0.0009269256,0.007827949,0.001226536,0.0006789539,0.0017184,0.001044078,0.0002684621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02149282,"about_ca_system_score_gemma":0.03246864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988674,"about_ca_topic_score_gemma":0.9831476,"domain_scores_codex":[0.9964315,0.00117159,0.0002029736,0.000548603,0.001201632,0.0004437311],"domain_scores_gemma":[0.9901877,0.003583247,0.001449943,0.0008150337,0.00350198,0.0004619931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007642344,0.00007127567,0.8908093,0.0001625948,0.0003267802,0.0001897074,0.001821329,0.01693892,0.0002266979,0.009322201,0.009661222,0.07039351],"study_design_scores_gemma":[0.0001346311,0.00007492332,0.860043,0.0003319108,0.0002784196,0.0002348077,0.005406887,0.1011799,0.001765989,0.01094969,0.01942062,0.0001792398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7739312,0.002445065,0.1713253,0.006987671,0.0002035058,0.001765763,0.02557819,0.0008579541,0.01690527],"genre_scores_gemma":[0.8685079,0.0008900955,0.1187277,0.0004698179,0.00004571584,0.0007775322,0.005646949,0.00009727382,0.004837031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02149282,"threshold_uncertainty_score":0.155942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764614879607378,"score_gpt":0.3476865413411355,"score_spread":0.3100403925450617,"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."}}