{"id":"W3127354285","doi":"10.21810/jicw.v3i3.2516","title":"Intelligence and Corruption","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law enforcement; Language change; Intelligence analysis; Context (archaeology); Intelligence cycle; Money laundering; Military intelligence; Public relations; National security; Political science; Law; Business","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":[0.003578073,0.0004052911,0.0005374923,0.002296755,0.004858056,0.01534243,0.0006083597,0.002373064,0.008318885],"category_scores_gemma":[0.01469592,0.0002054719,0.0003526519,0.003612364,0.01451709,0.006882852,0.004311477,0.004600978,0.001552726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00447096,"about_ca_system_score_gemma":0.006130958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016773,"about_ca_topic_score_gemma":0.005706354,"domain_scores_codex":[0.9942843,0.002714528,0.0002761337,0.0004259433,0.001141657,0.001157334],"domain_scores_gemma":[0.9905545,0.004036658,0.001930647,0.0007249846,0.001430973,0.001322197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002456779,0.00002790024,0.004120427,0.0002402429,0.00002424272,0.000134142,0.007367383,0.0002378152,0.00005237326,0.7509856,0.1882968,0.04848855],"study_design_scores_gemma":[0.000009377193,0.00002651031,0.006183317,0.001148545,0.00001537261,0.0002340548,0.006018954,0.0002320069,0.00009652301,0.1690663,0.8169429,0.00002625839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0187741,0.1072444,0.002420919,0.3991967,0.01022062,0.00004481277,0.0002370729,0.00007608224,0.4617853],"genre_scores_gemma":[0.7336925,0.1060761,0.001443246,0.06607301,0.01363123,0.00009876394,0.0002663434,0.0002150387,0.07850383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01534243,"threshold_uncertainty_score":0.03243923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06702098453078142,"score_gpt":0.3349931600757056,"score_spread":0.2679721755449241,"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."}}