{"id":"W7133072301","doi":"","title":"SLOW BURN: Subversion and Escalation in Cyber Conflict and Covert Action","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Subversion; Covert; Action (physics); Mechanism (biology); Competitor analysis; Face (sociological concept)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004242439,0.000408612,0.0005749117,0.0001740806,0.0009012194,0.0002074849,0.0001188143,0.0005828699,0.0002050299],"category_scores_gemma":[0.0002559505,0.0004652828,0.00009164586,0.0005957658,0.0003447751,0.0004481862,0.000088402,0.0006112293,0.00003679396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649962,"about_ca_system_score_gemma":0.000137756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01190418,"about_ca_topic_score_gemma":0.02419178,"domain_scores_codex":[0.9975985,0.0002871595,0.0003749524,0.0007541805,0.0005720342,0.0004131538],"domain_scores_gemma":[0.9989393,0.0002535498,0.0003153654,0.0001313705,0.0001383359,0.0002220616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000592078,0.0001040583,0.0121205,0.0003865059,0.0001214846,0.00002200096,0.9628977,0.00000689292,0.001129218,0.004868221,0.001890203,0.0158612],"study_design_scores_gemma":[0.001803735,0.0002612951,0.1522506,0.000560681,0.0002752891,0.000003902941,0.7097194,0.0008678053,0.0004965324,0.0006641736,0.1320909,0.001005635],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593336,0.004226848,0.00002022263,0.005835552,0.0008528846,0.0007307414,0.000007296158,0.00005505354,0.02893781],"genre_scores_gemma":[0.9641123,0.02812218,0.00002681999,0.0001706243,0.0002406908,0.00001941015,0.0001253234,0.00002521245,0.007157481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2531782,"threshold_uncertainty_score":0.9997799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03476423516008312,"score_gpt":0.3599881268744678,"score_spread":0.3252238917143846,"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."}}