{"id":"W3159179536","doi":"10.21303/2313-8416.2021.001807","title":"The use of the topics and vocabulary of the Second World War in the Russian-Ukrainian conflict 2014-2020 (analysis of foreign historiography)","year":2021,"lang":"en","type":"article","venue":"ScienceRise","topic":"European and Russian Geopolitical Military Strategies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Historiography; Vocabulary; Political science; Linguistics; History; Law; Philosophy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001026552,0.00008593812,0.0001995376,0.00008336858,0.0005393472,0.00004957302,0.000823032,0.00003441032,0.0001263778],"category_scores_gemma":[0.0002305138,0.00003684648,0.000245904,0.002787029,0.003946938,0.0001392021,0.0001262046,0.0001551662,5.066044e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001985463,"about_ca_system_score_gemma":0.0002918504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157645,"about_ca_topic_score_gemma":0.02116698,"domain_scores_codex":[0.9980992,0.0006510002,0.0003269544,0.0001964605,0.0004740788,0.0002522927],"domain_scores_gemma":[0.9987505,0.0004422554,0.0001526398,0.0005467296,0.00005252872,0.00005536158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001958989,0.00009433129,0.09968165,0.00004554345,0.000161916,0.00000793762,0.09294297,0.00005868292,0.0001612553,0.8030559,0.002559971,0.001210234],"study_design_scores_gemma":[0.0001204024,0.00003041254,0.6263008,0.00003580697,0.0001429942,8.76454e-7,0.01857101,0.0001274135,0.000162663,0.005909103,0.3484983,0.0001001916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.855396,0.003293614,0.000002920126,0.01204233,0.0003962498,0.0003199002,0.00006224017,0.000006870881,0.1284799],"genre_scores_gemma":[0.9948007,0.0003870661,0.00005917617,0.0003691343,0.00004423389,0.000002714567,4.912081e-7,0.000003004789,0.004333444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7971468,"threshold_uncertainty_score":0.9987637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319295097156456,"score_gpt":0.2686970678925484,"score_spread":0.2355041169209838,"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."}}