{"id":"W1628970664","doi":"","title":"Statistical Information Pertaining to Socio-Economic Conditions of Northern Aboriginal People in Canada: Sources and Limitations","year":2009,"lang":"en","type":"article","venue":"Northern review","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Circumpolar star; Context (archaeology); Geography; Population; Regional science; Political science; Sociology; Demography","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":[0.1054949,0.001347829,0.002296858,0.01625283,0.008726485,0.006393108,0.006648059,0.001288418,0.00382734],"category_scores_gemma":[0.3376491,0.00120549,0.002186711,0.04309935,0.005276772,0.002154531,0.0066089,0.002621336,0.0006302167],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04910767,"about_ca_system_score_gemma":0.1536202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.947952,"about_ca_topic_score_gemma":0.9324165,"domain_scores_codex":[0.8255746,0.0411088,0.03002197,0.00678541,0.09073791,0.005771277],"domain_scores_gemma":[0.6977497,0.129407,0.02775053,0.020567,0.1199095,0.004616289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008875793,0.0002347934,0.5651209,0.01443699,0.002043108,0.001215301,0.03982538,0.007074197,0.0007851123,0.0243308,0.1293642,0.2146816],"study_design_scores_gemma":[0.0001125142,0.0002218966,0.6697379,0.01822817,0.001285544,0.0007141307,0.03123205,0.008593221,0.002515662,0.01109548,0.2557771,0.0004863966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2970654,0.03235528,0.1066408,0.05842048,0.004546286,0.02560715,0.3741375,0.001217203,0.10001],"genre_scores_gemma":[0.7274404,0.01594622,0.09261043,0.01453481,0.0007727526,0.03650462,0.09623823,0.000712951,0.01523958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9508923,"threshold_uncertainty_score":0.5579172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640068464815569,"score_gpt":0.354472039062352,"score_spread":0.3280713544141963,"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."}}