{"id":"W3084361223","doi":"10.5038/1911-9933.14.2.1728","title":"Re-assessing the Genocide of Kurdish Alevis in Dersim, 1937-38","year":2020,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Turkey's Politics and Society","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Denial; Turkish; State (computer science); Nationalism; Attributive; Political science; Law; History; Psychology; Philosophy; Linguistics; Psychoanalysis; Computer science; Politics","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":[0.0007388528,0.00008280115,0.0001934443,0.00001428668,0.0004904265,0.00003931158,0.0001135313,0.00005606657,0.00004013481],"category_scores_gemma":[0.0001792629,0.00006563956,0.0001032506,0.000192177,0.0002791696,0.0001228956,0.00009751938,0.0001041159,0.000001877576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004198763,"about_ca_system_score_gemma":0.00006193815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114911,"about_ca_topic_score_gemma":0.001643374,"domain_scores_codex":[0.99896,0.0002309113,0.0002378432,0.0001645352,0.0001771169,0.0002296493],"domain_scores_gemma":[0.9995412,0.0001322453,0.000122078,0.00007825907,0.00006931934,0.00005686044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001919822,0.0000114183,0.01540402,0.0003314501,0.0003988454,0.000007919971,0.8405873,0.00002892365,0.000398271,0.03146008,0.00703517,0.1043174],"study_design_scores_gemma":[0.0005297959,0.0001054493,0.09080557,0.0001445229,0.0001220081,3.948069e-7,0.6441418,0.00001243982,0.000190015,0.2340901,0.02960278,0.0002551011],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.875973,0.0380731,0.002993134,0.02805071,0.0005283716,0.0009909179,0.00001499768,0.00007267592,0.05330304],"genre_scores_gemma":[0.9919202,0.004853884,0.002230439,0.0004823363,0.0001796337,0.000009418432,0.000001720822,0.000006583852,0.0003157872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2026301,"threshold_uncertainty_score":0.3772014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09726196974578642,"score_gpt":0.40623264265158,"score_spread":0.3089706729057936,"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."}}