{"id":"W2984239450","doi":"","title":"Legal Control of Security Intelligence Agencies-A Comparison beteeen the Korean and Canadian System","year":2007,"lang":"en","type":"article","venue":"korean Journal of Public Safety and Criminal Justice","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer security; Control (management); Business; Political science; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001618323,0.0002854891,0.0003452428,0.004023302,0.005514787,0.005014793,0.002004882,0.0009348788,0.005321274],"category_scores_gemma":[0.007566588,0.0002462364,0.0006173039,0.006873751,0.002977192,0.0017545,0.002216711,0.001476245,0.0002620789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06135235,"about_ca_system_score_gemma":0.06431331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9854137,"about_ca_topic_score_gemma":0.9945004,"domain_scores_codex":[0.9953945,0.0003128814,0.0001390356,0.0003015216,0.00170024,0.002151785],"domain_scores_gemma":[0.992645,0.000778476,0.001245532,0.0002027674,0.003416872,0.001711349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005843374,0.0003496975,0.8726392,0.0001855125,0.0002079232,0.000762694,0.02251988,0.0007790731,0.0007474266,0.03980349,0.00839535,0.05302543],"study_design_scores_gemma":[0.00004133082,0.00007903234,0.9461767,0.0000954116,0.0001346518,0.0001751711,0.03655832,0.0006436574,0.0002605163,0.0007218806,0.01505868,0.00005462582],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591398,0.001389143,0.0001214334,0.001751689,0.00002649455,0.00005448288,0.0005775579,0.00000802541,0.03693138],"genre_scores_gemma":[0.9961885,0.0005618379,0.00006208014,0.0002446883,0.000003857362,0.000006961916,0.0002457245,0.000004384065,0.002682098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06135235,"threshold_uncertainty_score":0.4451446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469235741685226,"score_gpt":0.2992427251893625,"score_spread":0.2645503677725102,"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."}}