{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009754656,0.000101286,0.0001880737,0.00004013265,0.0004122397,0.0001088336,0.0002203479,0.00006850623,0.0001668453],"category_scores_gemma":[0.000533426,0.0000720754,0.00005280821,0.0001898276,0.0004986163,0.0002902775,0.0000575529,0.0002653353,0.000005432849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003868444,"about_ca_system_score_gemma":0.0001717442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007387965,"about_ca_topic_score_gemma":0.0006395397,"domain_scores_codex":[0.9988804,0.0001820198,0.0003039897,0.0001004321,0.0003353688,0.000197786],"domain_scores_gemma":[0.9986358,0.0004793905,0.0002568141,0.0001191642,0.0003891882,0.0001196616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002435531,0.0001196485,0.006537984,0.00006799079,0.0001099962,0.00009327298,0.2080417,0.0001574698,0.00220856,0.0724318,0.001947717,0.7080402],"study_design_scores_gemma":[0.0001835227,0.000404517,0.008561026,0.0004908079,0.0001760498,0.0007139633,0.2612337,0.0003624722,0.03713248,0.01342345,0.6767961,0.000521866],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9055967,0.0449583,0.02851567,0.007723693,0.001170549,0.0001921204,0.00001277164,0.00002554921,0.0118047],"genre_scores_gemma":[0.9413576,0.05618494,0.0001003465,0.0003697459,0.000268185,5.843442e-7,3.5109e-7,0.000006060555,0.001712221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7075184,"threshold_uncertainty_score":0.3170656,"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."}}