{"id":"W4385956873","doi":"10.5038/1911-9933.16.3.1909","title":"Pillage as the Political Economy of the Kurdish Anfal Genocide","year":2023,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Post-Soviet Geopolitical Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Looting; Armenian; Politics; Law; Political science; Sociology; Political economy; History; Ancient history","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":[0.002386578,0.0002975636,0.0002547651,0.001341066,0.004122097,0.007846246,0.0005707771,0.002239395,0.006233776],"category_scores_gemma":[0.004910688,0.0002746934,0.0001851841,0.001266883,0.02181752,0.006298342,0.004235891,0.002129359,0.0003777013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004797848,"about_ca_system_score_gemma":0.001738959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0032762,"about_ca_topic_score_gemma":0.002670893,"domain_scores_codex":[0.9980972,0.001060881,0.00004361312,0.0001708154,0.000225258,0.0004021418],"domain_scores_gemma":[0.9977308,0.001226418,0.0005721221,0.0001414441,0.0001428257,0.0001864628],"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":[0.00002064465,0.00001719791,0.000955275,0.00001678632,0.000003094787,0.0001446896,0.004977885,0.0006750076,0.00008776158,0.9890733,0.0005560425,0.003472343],"study_design_scores_gemma":[0.00003056781,0.00008219807,0.008758593,0.0002086104,0.00001146395,0.0003033333,0.02923907,0.003224363,0.0002656987,0.8193316,0.1385001,0.00004438302],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3421534,0.003609699,0.01091919,0.02103684,0.0002549734,0.00005468448,0.0000692963,0.00002905844,0.6218729],"genre_scores_gemma":[0.9939793,0.0004918337,0.0003400801,0.0002311785,0.00006234868,0.00001368292,0.000006882647,0.000005306601,0.004869405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007846246,"threshold_uncertainty_score":0.03481096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03710067712321366,"score_gpt":0.3675091037632046,"score_spread":0.3304084266399909,"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."}}