{"id":"W2339595115","doi":"10.14288/1.0102654","title":"No easy fix: Global responses to crimes against humanity","year":2009,"lang":"en","type":"article","venue":"Open Collections","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanity; Crimes against humanity; Political science; Criminology; Computer security; Computer science; Sociology; Law; War crime","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001314083,0.0006354413,0.0003993573,0.000963797,0.0007050164,0.0009166984,0.0004910787,0.001094545,0.01397714],"category_scores_gemma":[0.0103976,0.0002659335,0.0005135894,0.0006259248,0.0007107977,0.0012697,0.002439873,0.001423455,0.002588914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006764025,"about_ca_system_score_gemma":0.0003844255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634975,"about_ca_topic_score_gemma":0.005779814,"domain_scores_codex":[0.9990822,0.0003694033,0.0001059946,0.00008277358,0.0002077666,0.0001519335],"domain_scores_gemma":[0.9918231,0.00297413,0.002351678,0.0007380675,0.001205736,0.0009072513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001637192,0.0008288892,0.7688934,0.0009705124,0.0006167028,0.0005005265,0.01957329,0.001189048,0.003106819,0.002812912,0.08640218,0.1134686],"study_design_scores_gemma":[0.00007365595,0.0004424679,0.9545498,0.0002244678,0.000100136,0.0004054834,0.01791754,0.0003788612,0.0008996446,0.001167864,0.02376501,0.00007513956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9562719,0.0002851926,0.0008299201,0.001498189,0.0002513299,0.0003372246,0.004819016,0.0001343581,0.0355728],"genre_scores_gemma":[0.9853023,0.0004012382,0.002039166,0.0006978096,0.000107366,0.0006786688,0.003045267,0.00007091669,0.007657152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01397714,"threshold_uncertainty_score":0.04675817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05052752763676428,"score_gpt":0.3853438828158326,"score_spread":0.3348163551790683,"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."}}