{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003679266,0.0004154361,0.0003256565,0.002880021,0.004269907,0.007734411,0.001036987,0.002144495,0.004142453],"category_scores_gemma":[0.00623035,0.0003111778,0.0005358548,0.001527127,0.03567537,0.01047008,0.004846159,0.004173386,0.00022948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006133416,"about_ca_system_score_gemma":0.002151807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003029384,"about_ca_topic_score_gemma":0.002949873,"domain_scores_codex":[0.9967965,0.001922544,0.0001003586,0.0003212709,0.000451573,0.0004077253],"domain_scores_gemma":[0.994881,0.00351217,0.0007313836,0.000392955,0.000258937,0.0002235397],"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":[0.00002305047,0.00003990337,0.001449301,0.0000612892,0.000005786661,0.0002163258,0.04905506,0.0003839216,0.0001755322,0.9428827,0.0003949822,0.005312186],"study_design_scores_gemma":[0.00004414633,0.0001456305,0.008460016,0.0005722843,0.00002378193,0.000845529,0.1065509,0.004087244,0.0008889635,0.8286846,0.04964513,0.00005176999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4714347,0.003447715,0.07010672,0.01305352,0.0002859615,0.0002932195,0.00008626387,0.00007223581,0.4412197],"genre_scores_gemma":[0.9936186,0.0004386078,0.002497626,0.0003166845,0.00002767538,0.00005992415,0.00001942773,0.00001442314,0.003006995],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007734411,"threshold_uncertainty_score":0.0445013,"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."}}