{"id":"W2606036587","doi":"10.3138/gsi.10.2.06","title":"Reshaping Gender Norms in Post-Genocide Rwanda","year":2016,"lang":"en","type":"article","venue":"Genocide Studies International","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Gender mainstreaming; Political science; Criminology; State (computer science); Sociology; Gender studies; Law; Gender equality","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":[0.006334511,0.0002580696,0.0002487207,0.001137667,0.006655302,0.003595538,0.0005485597,0.0007468549,0.002269228],"category_scores_gemma":[0.008080388,0.0002014539,0.0001555395,0.0007894382,0.01065578,0.001905092,0.002863139,0.001324537,0.000222989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003196049,"about_ca_system_score_gemma":0.003157954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033502,"about_ca_topic_score_gemma":0.02016186,"domain_scores_codex":[0.9963643,0.002346597,0.00008612695,0.0001773963,0.0002623285,0.0007632839],"domain_scores_gemma":[0.997387,0.001173397,0.000708868,0.0001586177,0.0003057938,0.0002662807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006812644,0.00007929728,0.03098186,0.0000662891,0.000007339826,0.001038804,0.8222151,0.00006341453,0.002394393,0.09362038,0.001555736,0.04790929],"study_design_scores_gemma":[0.00001407749,0.0002897539,0.1225515,0.0004381049,0.00001443141,0.0008409997,0.7676332,0.0001939379,0.002555022,0.0174532,0.08797086,0.00004481656],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480996,0.001363216,0.0007670342,0.004487404,0.0001583292,0.00002877579,0.00002209881,0.00001205849,0.04506148],"genre_scores_gemma":[0.997613,0.0002650854,0.0001338708,0.0001179392,0.00001804194,0.00001185531,0.000004122988,0.000004204911,0.001831938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033502,"threshold_uncertainty_score":0.03350049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08619126709361813,"score_gpt":0.3745637057049625,"score_spread":0.2883724386113444,"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."}}