{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451124,0.0003381356,0.000233622,0.001495192,0.002999231,0.00190327,0.0005275931,0.0008102476,0.002492497],"category_scores_gemma":[0.002179787,0.0001684191,0.0001424794,0.001055989,0.003406428,0.001348444,0.002514388,0.001106377,0.0002661257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005179983,"about_ca_system_score_gemma":0.002940652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04788789,"about_ca_topic_score_gemma":0.111425,"domain_scores_codex":[0.9994175,0.000142561,0.00003609391,0.00006054435,0.00007979403,0.0002634805],"domain_scores_gemma":[0.9995924,0.00009841671,0.0001213591,0.00003143107,0.0001138393,0.00004270738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003663366,0.0001374264,0.3234803,0.0004746615,0.00007097168,0.005160651,0.4479532,0.0007633187,0.002683452,0.07852729,0.01137479,0.1290075],"study_design_scores_gemma":[0.00001056757,0.0001565587,0.4230348,0.0003875742,0.0000363705,0.0007649809,0.4743192,0.0001676107,0.001865116,0.003731681,0.09548691,0.00003860687],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737666,0.001301134,0.0001439334,0.001117078,0.0001184979,0.00001311375,0.00008446395,0.000003626161,0.02345152],"genre_scores_gemma":[0.996332,0.0005049349,0.00008217915,0.0001523965,0.00001270529,0.000006978076,0.00006352148,0.000003581177,0.002841709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04788789,"threshold_uncertainty_score":0.0952183,"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."}}