{"id":"W1553182705","doi":"10.1111/sena.12137","title":"Competing Nationalisms, <scp>E</scp>uromaidan, and the <scp>R</scp>ussian‐<scp>U</scp>krainian Conflict","year":2015,"lang":"en","type":"article","venue":"Studies in Ethnicity and Nationalism","topic":"European Politics and Security","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ukrainian; Political science; Nationalism; Media studies; Politics; Library science; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001297629,0.0001019238,0.0001474395,0.0006435583,0.005470509,0.002538798,0.0004120038,0.0005268616,0.004362098],"category_scores_gemma":[0.001779204,0.00007714346,0.000116528,0.001248384,0.003710625,0.001393322,0.002322831,0.001254964,0.0001246125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003432562,"about_ca_system_score_gemma":0.003163426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03610543,"about_ca_topic_score_gemma":0.16439,"domain_scores_codex":[0.9990143,0.0003466246,0.00003766421,0.00007543888,0.0001005119,0.0004254997],"domain_scores_gemma":[0.9990381,0.0003131418,0.0002225014,0.00003531379,0.00007463249,0.0003162983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003395386,0.0001435109,0.1996798,0.0001306178,0.00009675075,0.0007733933,0.1146489,0.00026776,0.0009397706,0.6408872,0.003423749,0.03866899],"study_design_scores_gemma":[0.00003652305,0.000106952,0.5341343,0.0002731325,0.00006461927,0.0005552049,0.3455806,0.0003243789,0.0009714939,0.02917389,0.08873276,0.00004605201],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440239,0.0007049892,0.00006229508,0.00276471,0.00003902388,0.000002571215,0.00003340195,6.447107e-7,0.05236848],"genre_scores_gemma":[0.9975901,0.00009601489,0.00001745655,0.0001111538,0.000003625372,0.000002461199,0.000008100187,8.997152e-7,0.002170357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03610543,"threshold_uncertainty_score":0.07179052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1066538094492911,"score_gpt":0.3674370017246771,"score_spread":0.2607831922753861,"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."}}