{"id":"W7093803718","doi":"","title":"ÐÐµÑÐ¶Ð°Ð²Ð½Ðµ ÑÐµÐ³ÑÐ»ÑÐ²Ð°Ð½Ð½Ñ Ð¿ÑÐ¾ÑÐµÑÑÐ² Ð¼ÑÐ¶ÐµÑÐ½ÑÑÐ½Ð¾Ñ ÑÐ½ÑÐµÐ³ÑÐ°ÑÑÑ Ñ Ð¿ÑÐ¸ÐºÐ¾ÑÐ´Ð¾Ð½Ð½Ð¸Ñ ÑÐµÐ³ÑÐ¾Ð½Ð°Ñ: ÑÐµÐ¾ÑÐµÑÐ¸ÑÐ½Ð¸Ð¹ Ð°ÑÐ¿ÐµÐºÑ","year":2016,"lang":"uk","type":"dissertation","venue":"Electronic scientific archive of UrFU (Ural Federal University)","topic":"Minority Rights and Languages","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnic group; Acculturation; Romanian; State (computer science); Politics; Term (time); Field (mathematics)","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":[0.001878723,0.0001717326,0.0002313849,0.0008126404,0.001955539,0.003870794,0.0004135721,0.0003749993,0.006285296],"category_scores_gemma":[0.001503906,0.0001947517,0.0002620839,0.0007486859,0.002152229,0.001490287,0.001426307,0.0007446769,0.001917182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004757755,"about_ca_system_score_gemma":0.006802913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01098866,"about_ca_topic_score_gemma":0.01236284,"domain_scores_codex":[0.9990405,0.0002871911,0.0000862124,0.0001864205,0.0002872212,0.0001123001],"domain_scores_gemma":[0.9990236,0.0001465591,0.0002325541,0.00007793204,0.0004434994,0.0000758544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005120812,0.00006720937,0.009668694,0.0002323776,0.00003326534,0.0002180568,0.009124096,0.001239608,0.003830285,0.8308865,0.00944498,0.1352037],"study_design_scores_gemma":[0.00001580923,0.00008999366,0.0197396,0.0003334823,0.00004628105,0.0002592726,0.006154777,0.002237052,0.006531522,0.1164267,0.8480982,0.00006737759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1778546,0.007484176,0.04599933,0.006994275,0.0009066209,0.0002301216,0.0004708972,0.00028111,0.7597789],"genre_scores_gemma":[0.8276753,0.005200916,0.02360224,0.0008684875,0.0001800453,0.0002950934,0.0003862301,0.0001211025,0.1416706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01098866,"threshold_uncertainty_score":0.03452015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008448977881916698,"score_gpt":0.2363625097235302,"score_spread":0.2279135318416135,"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."}}