{"id":"W2808726941","doi":"10.5038/1911-9933.12.1.1579","title":"The Gardening States: Comparing State Repression of Ethnic Minorities in the Soviet Union and Turkey, 1908-1945","year":2018,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Political Conflict and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiteit Utrecht","keywords":"Ethnic group; State (computer science); Ideology; Genocide; Political science; Politics; Population; Political economy; Soviet union; Development economics; Gender studies; Sociology; Law; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00158613,0.00005898264,0.0001184312,0.0000126057,0.0006532316,0.00003733369,0.00008627366,0.00002310843,0.000003404109],"category_scores_gemma":[0.0001694535,0.00003510986,0.00002339125,0.00008644949,0.0006117076,0.00008122255,0.00008393648,0.00007382128,5.40214e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000144112,"about_ca_system_score_gemma":0.00001644099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337814,"about_ca_topic_score_gemma":0.01576504,"domain_scores_codex":[0.9990014,0.0003545864,0.0001739823,0.0001092421,0.0001668009,0.000193972],"domain_scores_gemma":[0.9994009,0.0003312684,0.00009788499,0.00008129126,0.00006737198,0.00002132507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001292233,0.00001046875,0.01644862,0.0002188909,0.000129182,0.000002477355,0.6124531,0.00001229031,0.0002007457,0.03531579,0.00216984,0.3329094],"study_design_scores_gemma":[0.0005082004,0.0002182259,0.3767666,0.0004517485,0.0000450331,0.000001277999,0.1864462,0.00005479436,0.0001488407,0.3824344,0.05275568,0.0001690287],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641703,0.02568799,0.0002465477,0.001400452,0.0001641526,0.000237169,0.000003486585,0.00001029772,0.00807955],"genre_scores_gemma":[0.9820331,0.01612228,0.00012874,0.00005360191,0.00009683135,0.000009142193,8.210905e-7,0.000002428545,0.001553006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4260069,"threshold_uncertainty_score":0.8797264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07947348344259164,"score_gpt":0.3912543281251413,"score_spread":0.3117808446825497,"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."}}