{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005549599,0.0001473738,0.0003051393,0.0002636611,0.004145056,0.000003034986,0.0002132191,0.000145381,0.00004202798],"category_scores_gemma":[0.0002834143,0.00009846598,0.0000537978,0.0006623825,0.0001013746,0.00008813247,0.00006856879,0.0004392824,0.00002627055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143721,"about_ca_system_score_gemma":0.0004974123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6657497,"about_ca_topic_score_gemma":0.9974762,"domain_scores_codex":[0.9977043,0.0005126827,0.0006841327,0.0001987286,0.0001773059,0.0007228738],"domain_scores_gemma":[0.9990667,0.0001735025,0.0002476834,0.0003281653,0.0001327244,0.00005118479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007121213,0.00001829624,0.8783835,0.00003683259,0.00001792236,0.000009411215,0.1187189,0.0003483204,5.136759e-7,0.001586684,0.0006909438,0.0001816466],"study_design_scores_gemma":[0.0002606268,0.00003830066,0.9801123,0.00003646625,0.00001126418,0.000005511832,0.01841272,0.00003247471,1.993721e-7,0.0003025744,0.0006888451,0.00009879092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991815,0.0006660979,7.547329e-7,0.002461594,0.001008699,0.001552697,0.00006079843,0.000007425269,0.002426982],"genre_scores_gemma":[0.9970117,0.0002429083,0.00003612984,0.002028913,0.0002109658,0.0001536296,0.0001313539,0.00001463884,0.0001698248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3317264,"threshold_uncertainty_score":0.9971514,"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."}}