{"id":"W4411123196","doi":"10.21810/jicw.v8i1.7183","title":"Disruptive Information in Canada","year":2025,"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":"Environmental science; Business","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":[0.002683302,0.0004469957,0.0003843525,0.002597027,0.02788184,0.01277089,0.001544009,0.003073784,0.01652259],"category_scores_gemma":[0.0097349,0.0005168939,0.0003951427,0.005240626,0.006307681,0.002335626,0.004815816,0.006381466,0.001288454],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1596948,"about_ca_system_score_gemma":0.2853706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931201,"about_ca_topic_score_gemma":0.9959366,"domain_scores_codex":[0.9934222,0.0003701356,0.0001512885,0.0003708691,0.003438063,0.002247301],"domain_scores_gemma":[0.9851735,0.001207332,0.0004948967,0.0002405323,0.007586039,0.005297733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001683131,0.00009017753,0.01903465,0.0003331407,0.00003673521,0.001775538,0.02111906,0.000680405,0.0005824413,0.1068337,0.7006364,0.1487094],"study_design_scores_gemma":[0.00001706893,0.0000360646,0.01965906,0.0002562547,0.00001551088,0.0002649055,0.01419178,0.0003503856,0.0003200909,0.003360836,0.9614358,0.00009219682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1014815,0.03003486,0.001289158,0.407216,0.007914669,0.0001961919,0.002647959,0.000286251,0.4489334],"genre_scores_gemma":[0.6829312,0.02742378,0.001408651,0.05798132,0.00111618,0.00008281683,0.00133361,0.0001370409,0.2275853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1596948,"threshold_uncertainty_score":0.9746349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337945473775638,"score_gpt":0.2533205683137053,"score_spread":0.2399411135759489,"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."}}