{"id":"W6913234812","doi":"10.5683/sp/ygdur6","title":"Projections of the Aboriginal Populations: Total population with Aboriginal identity by region and sex: 2001 to 2017 - Urban non-Census metropolitan area residence [Canada] [Excel]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Residence; Population; Projections of population growth; Population projection; Rural area; Demographic analysis","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":[0.0007018128,0.001196788,0.0003263244,0.001388678,0.0006838099,0.001027734,0.001367828,0.0004115176,0.02166094],"category_scores_gemma":[0.001522657,0.0003964743,0.001219955,0.002883308,0.0001761217,0.0007098361,0.0007138749,0.0009776074,0.003976366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01146979,"about_ca_system_score_gemma":0.01413486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8257053,"about_ca_topic_score_gemma":0.7023505,"domain_scores_codex":[0.9994932,0.00008306811,0.00001866568,0.00004511827,0.0002156452,0.0001441685],"domain_scores_gemma":[0.9991707,0.00003898862,0.00002963451,0.00002430968,0.0006709975,0.00006545013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000695691,0.0001714257,0.03823668,0.001025161,0.0005057807,0.0004726367,0.000382495,0.2648423,0.0008171186,0.0199522,0.6162367,0.05666175],"study_design_scores_gemma":[0.0004021277,0.0002857381,0.1038453,0.0007107886,0.0003484324,0.000488602,0.00385101,0.1765332,0.003329675,0.009002076,0.7009318,0.0002713359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07015891,0.001147949,0.01059366,0.001752423,0.0004993762,0.001113223,0.803024,0.001285502,0.1104249],"genre_scores_gemma":[0.3561254,0.004351872,0.02166467,0.000488342,0.00006795904,0.002180612,0.5606288,0.0003941622,0.05409822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1742947,"threshold_uncertainty_score":0.3506422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131858770287805,"score_gpt":0.3253009151964026,"score_spread":0.2939823274935246,"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."}}