{"id":"W2996393731","doi":"10.34989/san-2019-32","title":"The Cyber Incident Landscape","year":2021,"lang":"en","type":"article","venue":"Staff Analytical Notes","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"GRASP; Business; Risk analysis (engineering); Computer security; Environmental resource management; Environmental planning; Computer science; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176248,0.0002846468,0.0002276364,0.004005424,0.01213099,0.01542409,0.001172748,0.001174322,0.01638857],"category_scores_gemma":[0.004315739,0.0002498025,0.0002499521,0.007064324,0.006972873,0.004685334,0.003863758,0.002053421,0.0009225445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03591233,"about_ca_system_score_gemma":0.02664912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7805418,"about_ca_topic_score_gemma":0.876669,"domain_scores_codex":[0.9979821,0.0002689807,0.00003978096,0.0001680143,0.0009430469,0.0005980404],"domain_scores_gemma":[0.9976545,0.0003160088,0.0002503932,0.0001300926,0.001133663,0.0005154858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001207312,0.00009663258,0.05840993,0.0004622433,0.00006249239,0.003415765,0.04793072,0.006267736,0.00176432,0.4594754,0.1783378,0.2436563],"study_design_scores_gemma":[0.000006024152,0.00004194359,0.1081676,0.0005182937,0.0000244624,0.0009640369,0.1073668,0.001834729,0.0003466573,0.04173153,0.7388945,0.000103509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2510192,0.007690555,0.0036032,0.05718286,0.0003761364,0.0001037584,0.002171657,0.0002233971,0.6776292],"genre_scores_gemma":[0.9605239,0.006664216,0.001061971,0.002591976,0.00009718526,0.00002485152,0.0007426236,0.00009905142,0.02819415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7805418,"threshold_uncertainty_score":0.4415011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309641683913672,"score_gpt":0.2574515484521246,"score_spread":0.2443551316129879,"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."}}