{"id":"W2078406374","doi":"10.5539/ass.v11n11p30","title":"Demographic Projection of the Tatar Nation, Living in Russia, with the Use of the Component Method","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Economic Development and Regional Competitiveness","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tatar; Census; Population; Projection (relational algebra); Component (thermodynamics); Geography; Regional science; Demography; Sociology; Computer science; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001401718,0.00005091299,0.0001171145,0.00009334832,0.0002340363,0.00003059749,0.0004029559,0.00002391579,0.000004093445],"category_scores_gemma":[0.00009125166,0.00002815665,0.00004351624,0.00101687,0.0005948319,0.0002159179,0.00009980361,0.00007916109,0.000001634346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000876667,"about_ca_system_score_gemma":0.0001523662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004098827,"about_ca_topic_score_gemma":0.0003976027,"domain_scores_codex":[0.9993905,0.0000559277,0.0002123995,0.0001473088,0.00008107883,0.0001127279],"domain_scores_gemma":[0.9994262,0.00006613985,0.0003163227,0.0001179076,0.00005738153,0.00001598831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006418171,0.00004275171,0.5962838,0.00000650837,0.0000115285,7.652712e-8,0.007765531,0.0000626449,0.00004532934,0.3939946,0.00007407706,0.001706747],"study_design_scores_gemma":[0.00009585464,0.00000861501,0.9904454,0.00002409885,0.00000165402,8.247588e-7,0.0009617044,0.0002161083,0.0001015946,0.004373457,0.003718032,0.00005266393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632512,0.00005655404,0.001497097,0.005690529,0.0004518843,0.000380389,0.000009837108,0.000005767551,0.02865672],"genre_scores_gemma":[0.9992213,0.000003976089,0.0005041661,0.00007965582,0.00002211273,0.000008113154,2.208698e-7,0.000003149597,0.0001572781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3941616,"threshold_uncertainty_score":0.2191683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08106436737301247,"score_gpt":0.249556258015535,"score_spread":0.1684918906425226,"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."}}