{"id":"W4392005695","doi":"10.5038/1911-9933.17.2.1946","title":"“Genocide of the Soviet People”: Putin’s Russia Waging Lawfare by Means of History, 2018–2023","year":2024,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Political science; Russian history; Ancient history; Criminology; Law; History; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005870031,0.0001654275,0.0001521763,0.0005570931,0.003851333,0.003069215,0.0001692888,0.0008609811,0.001300292],"category_scores_gemma":[0.0007372378,0.000103337,0.00008882891,0.0006124568,0.005173021,0.00153072,0.002062164,0.001183536,0.0001472597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002303584,"about_ca_system_score_gemma":0.001842777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007997023,"about_ca_topic_score_gemma":0.01507666,"domain_scores_codex":[0.9997618,0.0000946122,0.00001148716,0.00003273835,0.00003781153,0.00006168988],"domain_scores_gemma":[0.9998875,0.00004427771,0.00003050502,0.00001048408,0.000008081945,0.00001917878],"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":[0.0001032847,0.0000439532,0.02210247,0.0002614694,0.00002271342,0.001593012,0.2278613,0.000223051,0.001640967,0.6537303,0.01641118,0.07600632],"study_design_scores_gemma":[0.00001520642,0.0001550832,0.07945506,0.0007101539,0.00003004017,0.001334489,0.1025727,0.0002580926,0.00188274,0.05040759,0.763145,0.00003384207],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821699,0.02078259,0.0008060544,0.01626263,0.001118961,0.00002295011,0.00009721512,0.0000253974,0.1391853],"genre_scores_gemma":[0.9882482,0.00274707,0.00008847158,0.0006971438,0.00009663233,0.000005928543,0.00002960822,0.000008336159,0.008078663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007997023,"threshold_uncertainty_score":0.01671374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03261131842294629,"score_gpt":0.3132567529106341,"score_spread":0.2806454344876878,"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."}}