{"id":"W4408940236","doi":"10.5038/1911-9933.18.1.2001","title":"Evidence-Based Approaches to Preventing Genocide and Mass Atrocities: Introduction to the Special Issue","year":2024,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Genocide; Criminology; Political science; Law; Sociology","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":[0.03353183,0.002129785,0.004542296,0.007652751,0.001507265,0.006970856,0.00339996,0.01382921,0.005872143],"category_scores_gemma":[0.08484127,0.001133048,0.003788208,0.004329879,0.003332652,0.01037078,0.00472144,0.01695383,0.001615893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004190856,"about_ca_system_score_gemma":0.008485733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003654632,"about_ca_topic_score_gemma":0.00875071,"domain_scores_codex":[0.9840471,0.006142222,0.005284711,0.001077562,0.003121138,0.0003273478],"domain_scores_gemma":[0.8921922,0.08818019,0.005250316,0.001399792,0.01114507,0.001832353],"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":[0.0002100531,0.0004032643,0.001056279,0.0572121,0.001083178,0.0002976735,0.0004887045,0.0004189105,0.0005053018,0.02031829,0.4020338,0.5159724],"study_design_scores_gemma":[0.0001506312,0.0003905194,0.003454497,0.1448487,0.001265167,0.0007735932,0.0004833459,0.0004394101,0.0002335958,0.02407225,0.8237717,0.0001165861],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.00009604303,0.8828127,0.001564678,0.06241191,0.05168401,0.0001164103,0.00008436944,0.00002404213,0.001205826],"genre_scores_gemma":[0.001683409,0.8863922,0.004987247,0.04050406,0.06480274,0.0002803158,0.0001297641,0.00003228173,0.001187924],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03353183,"threshold_uncertainty_score":0.1773354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1102151029038522,"score_gpt":0.3295140050472795,"score_spread":0.2192989021434273,"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."}}