{"id":"W4310046299","doi":"10.21810/jicw.v5i2.4339","title":"Security and Cyber Intelligence","year":2022,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Terrorism, Counterterrorism, and Political Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Vulnerability (computing); Computer security; Political science; Intelligence cycle; Public relations; Computer science; Military intelligence; Law; 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":[0.001257724,0.0006215593,0.0004533489,0.001243083,0.00562796,0.009302477,0.0003270594,0.003247704,0.04096295],"category_scores_gemma":[0.002230575,0.000197207,0.0002647235,0.001527022,0.009592663,0.004478361,0.003096801,0.004728699,0.00495024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007124079,"about_ca_system_score_gemma":0.01012245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04864111,"about_ca_topic_score_gemma":0.1074585,"domain_scores_codex":[0.9982306,0.0003900526,0.00006338993,0.0002128159,0.0007407957,0.0003623288],"domain_scores_gemma":[0.9990826,0.0001954437,0.00005879691,0.0001025122,0.0002522437,0.000308328],"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":[0.00002202851,0.00003035268,0.001202827,0.0001216932,0.00001229116,0.0001155396,0.00298968,0.0001312967,0.0002613229,0.5943379,0.3012119,0.09956329],"study_design_scores_gemma":[0.00000217343,0.00001209081,0.001400266,0.0001912608,0.000002015515,0.00007792277,0.001434321,0.00003266371,0.00003035556,0.04501453,0.9517963,0.000006203135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003170934,0.1114999,0.001119367,0.1061597,0.006218108,0.00003110033,0.0001512686,0.00004360551,0.771606],"genre_scores_gemma":[0.1960385,0.09037248,0.001488882,0.04454288,0.005356456,0.00007216138,0.000324921,0.0000730896,0.6617306],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04864111,"threshold_uncertainty_score":0.1370347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604754760088259,"score_gpt":0.3264566193967597,"score_spread":0.2904090717958771,"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."}}