{"id":"W4388699890","doi":"10.4324/9781003354130","title":"Intelligence Oversight in Times of Transnational Impunity","year":2023,"lang":"en","type":"book","venue":"","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Defense Programs; Vrije Universiteit Brussel; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Massey University; University of Westminster; University of Oxford; Temple University; King's College London; University of Cambridge; Wissenschaftszentrum Berlin für Sozialforschung; York University; University College London; London School of Economics and Political Science; Economic and Social Research Council; European Commission; U.S. Department of Defense; Home Office; Heinrich Böll Stiftung; Victoria University; Princeton University; University of Oklahoma","keywords":"Impunity; Political science; Law and economics; Law; Sociology; Human rights","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001009083,0.0002097394,0.0003633539,0.0004298842,0.0001233535,0.00003433133,0.0006982486,0.0005374014,0.01021793],"category_scores_gemma":[0.0001541531,0.0002191928,0.0001775249,0.000488815,0.0006373642,0.0001585205,0.00005417146,0.0004846662,0.0002602042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000385569,"about_ca_system_score_gemma":0.00228695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001820833,"about_ca_topic_score_gemma":0.03382112,"domain_scores_codex":[0.9977479,0.0001558881,0.0005171334,0.0003316968,0.0008914627,0.0003559029],"domain_scores_gemma":[0.9986109,0.0006749653,0.0001646406,0.0001920879,0.0002644811,0.00009289546],"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":[0.000006989242,0.00003549489,0.00002703019,0.00004787781,0.00002074914,0.00001143034,0.005458998,0.00003260995,0.000001484443,0.9860613,0.007373917,0.0009220953],"study_design_scores_gemma":[0.00004362764,0.00004993669,0.0000761473,0.00009050455,0.00001812008,4.831905e-7,0.002621955,0.00009488378,0.0003068906,0.8704205,0.1259386,0.0003383664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005026418,0.00009046144,0.0003556357,0.0007002015,0.0005071723,0.0003407258,0.00006423104,0.00008872073,0.9978026],"genre_scores_gemma":[0.05908543,0.000337578,0.0001475363,0.00004997002,0.0001819747,0.000008276641,0.00006310667,0.00002629571,0.9400998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1185647,"threshold_uncertainty_score":0.9906869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04312471544213418,"score_gpt":0.3308646551986124,"score_spread":0.2877399397564782,"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."}}