{"id":"W2793496518","doi":"10.5038/1911-9933.11.3.1582","title":"Germany's Politics and Bureaucracy for Preventing Atrocities","year":2018,"lang":"en","type":"article","venue":"Genocide Studies and Prevention","topic":"Global Peace and Security Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genocide; Politics; Persecution; Political science; Context (archaeology); Bureaucracy; Nazi Germany; Human rights; State (computer science); Law; Sociology; History","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":[0.0004931765,0.00008114886,0.0001365477,0.00002543968,0.001228398,0.00006309921,0.00004754716,0.00005388581,0.000007036466],"category_scores_gemma":[0.0001479833,0.00007938143,0.00004957377,0.00005295558,0.0003789919,0.0001490163,0.00006978658,0.00003753583,0.000001884334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003264533,"about_ca_system_score_gemma":0.0000265776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004194502,"about_ca_topic_score_gemma":0.003264438,"domain_scores_codex":[0.9992589,0.00006656673,0.0001423472,0.0001586072,0.000105875,0.0002677545],"domain_scores_gemma":[0.9995716,0.00008556064,0.00007146039,0.0000550671,0.0001632169,0.00005311532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003852172,0.000006879504,0.001429599,0.0005169853,0.0004317769,0.000001671045,0.1585258,7.72983e-7,0.0001624949,0.5694385,0.007513593,0.2619335],"study_design_scores_gemma":[0.0002442984,0.0001404257,0.002797277,0.00005851382,0.00008294554,0.000001456373,0.03428501,0.0000102808,0.00001004715,0.8727449,0.08949642,0.0001284452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944547,0.02208471,0.01316074,0.004258499,0.0008481195,0.00112394,0.00003108942,0.0001187582,0.01382712],"genre_scores_gemma":[0.9477636,0.01003136,0.02957572,0.0003840348,0.001377827,0.00004334075,0.00001147251,0.00001432017,0.01079832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033064,"threshold_uncertainty_score":0.9447969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194055780433274,"score_gpt":0.3833196596800517,"score_spread":0.3413791018757189,"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."}}