{"id":"W2970870205","doi":"10.21810/jicw.v3i3.2767","title":"Spy watching: Intelligence accountability in the United States","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Intelligence, Security, War Strategy","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Presidential system; Autonomy; Presentation (obstetrics); Political science; Public administration; Period (music); Intelligence analysis; Key (lock); Presidential campaign; Public relations; Law; Politics; Computer security; Medicine; Computer science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006219079,0.0002333412,0.000342695,0.0001717859,0.0006838291,0.0002993367,0.001413247,0.000151085,0.0003304945],"category_scores_gemma":[0.00121667,0.0001372714,0.0001367345,0.001313825,0.00102012,0.0003769364,0.0001241448,0.001023621,0.00002157857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001153741,"about_ca_system_score_gemma":0.0004527903,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00827539,"about_ca_topic_score_gemma":0.006389272,"domain_scores_codex":[0.9960991,0.001414791,0.0008955732,0.0002135322,0.0008590502,0.0005179583],"domain_scores_gemma":[0.99595,0.002047101,0.0003764222,0.0003919663,0.001088016,0.0001464364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002792044,0.0003226201,0.007359976,0.00006216914,0.00008969152,0.0001895707,0.8741482,0.002750803,0.0001814533,0.08580355,0.0005670656,0.0282457],"study_design_scores_gemma":[0.00008048091,0.0002268208,0.001487663,0.000219927,0.0000732287,0.0002637444,0.8464066,0.001048421,0.009827591,0.03905874,0.1009572,0.0003495381],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690631,0.006161293,0.00705572,0.01283272,0.0006410247,0.0003633763,0.00001157518,0.00002287007,0.003848298],"genre_scores_gemma":[0.9782018,0.01992555,0.0001289215,0.00132215,0.0002437169,0.000003137314,0.000004780772,0.00001228154,0.0001576773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1003902,"threshold_uncertainty_score":0.9983286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07208195835165677,"score_gpt":0.367675341416146,"score_spread":0.2955933830644892,"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."}}