{"id":"W2776249600","doi":"10.5937/nabepo22-12060","title":"Internet as a method of trolling offensive intelligence operations in cyberspace","year":2017,"lang":"en","type":"article","venue":"Nauka bezbednost policija","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cyberspace; Offensive; The Internet; Covert; National security; Computer security; Military doctrine; Computer science; Military intelligence; Politics; Information Operations; Doctrine; Contextualization; Profiling (computer programming); Public relations; Political science; Engineering; Operations research; World Wide Web; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008864346,0.0001631567,0.0003700907,0.000163159,0.0007927296,0.0001632498,0.0007042872,0.0001477257,0.0001766351],"category_scores_gemma":[0.002616729,0.0001673314,0.0001253697,0.0002060181,0.000605354,0.0003002598,0.0002310646,0.0002666907,0.00008102359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229456,"about_ca_system_score_gemma":0.0002284189,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2842733,"about_ca_topic_score_gemma":0.2211513,"domain_scores_codex":[0.9983336,0.0002571262,0.0003387028,0.0002971037,0.0003540547,0.0004194148],"domain_scores_gemma":[0.9987031,0.0003163843,0.0001792984,0.0004272677,0.0002573776,0.0001165354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006090502,0.0001722566,0.006580675,0.00001993691,0.000112464,0.00002282295,0.4523503,0.0002006466,0.0003368113,0.517894,0.001243635,0.02100547],"study_design_scores_gemma":[0.003701606,0.0008840688,0.0963935,0.001535574,0.0004278951,0.00003923546,0.5231065,0.002799791,0.05210534,0.07607494,0.2399495,0.002982014],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624545,0.0006457391,0.002018023,0.02724979,0.0009450087,0.0008983645,0.00004614906,0.00009686279,0.3056455],"genre_scores_gemma":[0.993881,0.0003271656,0.001483786,0.000411862,0.0002004669,0.00001714428,0.000002204815,0.00001270436,0.003663606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4418191,"threshold_uncertainty_score":0.7930607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05406579571020542,"score_gpt":0.402793301532802,"score_spread":0.3487275058225966,"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."}}