{"id":"W4385956700","doi":"10.5038/1911-9933.17.1.1925","title":"Institutional Legacies and the Decision to Commit Genocide","year":2023,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Commit; Democratization; Population; Criminology; Political science; Demographics; Development economics; Sociology; Political economy; Democracy; Law; Demography; Economics; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001565095,0.00007058674,0.0001395518,0.00003535541,0.002591721,0.00005916099,0.0000733796,0.00004296887,0.00002063234],"category_scores_gemma":[0.0003031182,0.00005225135,0.00006800113,0.00024556,0.0006862375,0.0001190097,0.0001303374,0.00006791884,0.00003249347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006814801,"about_ca_system_score_gemma":0.00004354753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000281745,"about_ca_topic_score_gemma":0.002565079,"domain_scores_codex":[0.9991741,0.0001600365,0.0001348756,0.000156726,0.0002042784,0.000170007],"domain_scores_gemma":[0.9994493,0.0003103012,0.00003704561,0.00007822779,0.00006394833,0.00006120485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001241943,0.000002247021,0.0005800895,0.00004775801,0.000178995,0.00000591186,0.247661,0.00005410919,0.00005148257,0.259822,0.06222474,0.4292475],"study_design_scores_gemma":[0.0006068597,0.00003205724,0.02187475,0.00004801454,0.00004137959,0.000001778899,0.04509893,0.000002658695,0.000003185839,0.3294565,0.6027126,0.0001212154],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955192,0.03966762,0.009914685,0.0289512,0.00208986,0.00161503,0.00002530545,0.0002757543,0.02194135],"genre_scores_gemma":[0.9275721,0.03818043,0.009474073,0.001667471,0.000798895,0.0001640344,0.00001212721,0.0000145873,0.02211633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5404879,"threshold_uncertainty_score":0.9987068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746937858617441,"score_gpt":0.3698479680641066,"score_spread":0.3123785894779322,"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."}}