{"id":"W4405549024","doi":"10.25744/vestnik.2022.57.2.004","title":"РУССКО-КАБАРДИНСКИЕ ОТНОШЕНИЯ В 60-70-Е ГГ. XVIII В.: ИСТОРИОГРАФИЯ КОНФЛИКТА","year":2022,"lang":"ru","type":"article","venue":"Vestnik Akademii nauk Čečenskoj Respubliki.","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Historiography; Empire; Politics; Period (music); Quarter (Canadian coin); History; Ancient history; Russian history; Political science; Economic history; Humanities; Law; Archaeology; 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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.005261095,0.00135614,0.001484333,0.001503672,0.005823282,0.001820194,0.003248179,0.001037732,0.003925482],"category_scores_gemma":[0.002005534,0.00160417,0.001037288,0.003227684,0.002047935,0.003103596,0.00120537,0.003188352,0.001657417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741641,"about_ca_system_score_gemma":0.003010598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004463674,"about_ca_topic_score_gemma":0.0005432908,"domain_scores_codex":[0.9843028,0.002392361,0.002610491,0.002079525,0.004795872,0.003818975],"domain_scores_gemma":[0.9932957,0.001201177,0.001091035,0.001751203,0.0007242853,0.001936624],"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":[0.001173494,0.003644327,0.009424558,0.0009035064,0.0009439815,0.000588161,0.1541907,0.001358319,0.00123717,0.4605885,0.3399009,0.02604642],"study_design_scores_gemma":[0.002597106,0.001104617,0.002829096,0.0001219237,0.000230117,0.00009196797,0.02664914,0.0004686171,0.0004739885,0.01562472,0.9477835,0.002025268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.329791,0.01201524,0.0002858323,0.0253674,0.0169879,0.004121064,0.00271523,0.001697788,0.6070185],"genre_scores_gemma":[0.9449602,0.002189338,0.0001950577,0.008040849,0.004027605,0.0002272594,0.0007153292,0.0002631145,0.03938127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6151692,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460554046918343,"score_gpt":0.310029598559714,"score_spread":0.2654240580905306,"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."}}