{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.00310155,0.002867348,0.003335255,0.003884082,0.01076915,0.001656261,0.0066585,0.001876047,0.01231907],"category_scores_gemma":[0.0005700726,0.002623027,0.002853654,0.00504552,0.006469629,0.002881435,0.001129179,0.003372789,0.001732576],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760857,"about_ca_system_score_gemma":0.00794389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01166862,"about_ca_topic_score_gemma":0.06088795,"domain_scores_codex":[0.9785592,0.002531827,0.002509169,0.005175558,0.004690337,0.00653389],"domain_scores_gemma":[0.9888452,0.001456059,0.003180737,0.00276057,0.001741422,0.00201603],"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":[0.005389314,0.003247448,0.003655206,0.002078738,0.004337854,0.001186395,0.09699333,0.00009340826,0.09401286,0.6975228,0.04001795,0.05146467],"study_design_scores_gemma":[0.007252462,0.002291568,0.002245968,0.002958067,0.001856259,0.000073221,0.04801584,0.0003589565,0.01335446,0.03063157,0.8841636,0.006798012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6297818,0.004445823,0.001362517,0.003132288,0.01312176,0.005416837,0.003065286,0.0009655989,0.3387081],"genre_scores_gemma":[0.5484799,0.001907446,0.0004372875,0.0001312113,0.001526251,0.00002291365,0.003162269,0.0002470064,0.4440857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8441457,"threshold_uncertainty_score":0.9994197,"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."}}