{"id":"W4408940200","doi":"10.5038/1911-9933.18.1.1947","title":"Promoting Resilience to Genocide: An Evidence-based Approach","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":true,"ca_institutions":"","funders":"","keywords":"Genocide; Resilience (materials science); Political science; Criminology; Sociology; Law","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":[0.001665498,0.0001186237,0.0001598859,0.00006651688,0.0007025082,0.0002290683,0.0001493328,0.00006576927,0.000009603598],"category_scores_gemma":[0.0003111603,0.000108461,0.00006611101,0.000392493,0.0001247921,0.0004696171,0.0000599296,0.0001053208,0.00001320784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001135534,"about_ca_system_score_gemma":0.0001220658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004230654,"about_ca_topic_score_gemma":0.001598901,"domain_scores_codex":[0.9985046,0.0002666125,0.0001926329,0.0003997946,0.0003137637,0.0003225804],"domain_scores_gemma":[0.9994866,0.0001004418,0.00003793755,0.0001293787,0.0001104932,0.0001352102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002817613,0.00001010264,0.000188618,0.0003901477,0.0000711675,0.00001281823,0.1240266,0.0002458936,0.0006165181,0.02287501,0.001517838,0.8500171],"study_design_scores_gemma":[0.0004429079,0.001842536,0.01235581,0.003494998,0.0003752246,0.00001001288,0.1322591,0.004544436,0.000147962,0.7566659,0.08652394,0.001337142],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7176902,0.1401444,0.1053205,0.0219705,0.00122102,0.002949381,0.00001516296,0.0007957465,0.009893132],"genre_scores_gemma":[0.9544953,0.003891784,0.03930511,0.0005375893,0.000400231,0.00005206526,0.000007746155,0.00001180216,0.001298448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.84868,"threshold_uncertainty_score":0.5403196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08234031065233735,"score_gpt":0.3948127501843122,"score_spread":0.3124724395319748,"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."}}