{"id":"W3035256903","doi":"10.21810/jicw.v3i1.2357","title":"Data Analytics and Security Policy","year":2020,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Presentation (obstetrics); Data science; Big data; Data analysis; Business intelligence; Security policy; Computer science; Internet privacy; Computer security; Knowledge management; Data mining; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02771802,0.0006398195,0.000859565,0.002879399,0.01062803,0.02351113,0.001387978,0.01688669,0.01431216],"category_scores_gemma":[0.04003581,0.0007175718,0.0006474347,0.003562243,0.04008935,0.02225625,0.008737736,0.01714206,0.002489862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02220338,"about_ca_system_score_gemma":0.0311058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03239425,"about_ca_topic_score_gemma":0.01828598,"domain_scores_codex":[0.973464,0.01229941,0.001131187,0.003185781,0.00648948,0.003430057],"domain_scores_gemma":[0.9635929,0.02191023,0.002218412,0.003215439,0.005434767,0.003628307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005461722,0.00000747254,0.0001431497,0.00002996754,0.000003052631,0.00001624953,0.0003767837,0.00009071975,0.00002739733,0.9725721,0.02127293,0.005454755],"study_design_scores_gemma":[0.000008667306,0.00001566952,0.0003420955,0.0005270457,0.000004718322,0.00005248659,0.001214309,0.0003050306,0.0001010004,0.4988062,0.4985996,0.00002312887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002667056,0.02523443,0.006161154,0.7082475,0.001985264,0.00004720392,0.000145961,0.00005541344,0.2554561],"genre_scores_gemma":[0.5019547,0.05525853,0.007850122,0.3351707,0.007526064,0.0003296402,0.0003481818,0.0001858186,0.09137616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03239425,"threshold_uncertainty_score":0.1610975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243905973702678,"score_gpt":0.3328435254402319,"score_spread":0.2084529280699642,"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."}}