{"id":"W1593222384","doi":"10.25336/p6jw32","title":"Lost Generations? Indigenous Population of the Russian North in the Post-Soviet Era","year":2008,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Indigenous; Population; Fertility; Census; Context (archaeology); Ethnic group; Geography; Arctic; Historical demography; Demography; Development economics; Socioeconomics; Economic growth; Political science; Developed country; Sociology; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005204359,0.00006544036,0.0001706606,0.0005647576,0.001389731,0.0006232832,0.0003722635,0.0001861665,0.001403415],"category_scores_gemma":[0.0007313013,0.00007380408,0.0001049776,0.0005933351,0.0007978377,0.0008120513,0.0008915883,0.0003061505,0.0001277778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165374,"about_ca_system_score_gemma":0.001207817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1255007,"about_ca_topic_score_gemma":0.1869514,"domain_scores_codex":[0.9997523,0.0000592715,0.000009464266,0.0000366258,0.00003706948,0.0001052988],"domain_scores_gemma":[0.9997987,0.00002420099,0.00006837555,0.00001326294,0.00003650666,0.0000589148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001577338,0.0001324217,0.6733553,0.0001310238,0.0000524987,0.00154415,0.2456214,0.0003026525,0.0032864,0.006745488,0.001641766,0.06702917],"study_design_scores_gemma":[0.00000399514,0.0001101301,0.8886957,0.00004663051,0.00001786714,0.0006638921,0.1019988,0.0001330852,0.0001819873,0.0004286867,0.007708355,0.00001087076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980149,0.0003260841,0.00001782366,0.0002542977,0.000007311634,0.000001352578,0.00002664688,8.983173e-7,0.00135072],"genre_scores_gemma":[0.9987885,0.0004354082,0.00002228426,0.00003432121,0.000007749261,0.000001404142,0.00001566978,5.70988e-7,0.0006940844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8744993,"threshold_uncertainty_score":0.2495404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07605868568039849,"score_gpt":0.3667766733356942,"score_spread":0.2907179876552958,"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."}}