{"id":"W7081931320","doi":"10.1108/jes-02-2025-0131","title":"Cyber risk, market fear and financial instability: hunting down risk through contagion analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Economic Studies","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Systemic risk; Spillover effect; Financial contagion; Financial market; Market liquidity; Financial crisis; Liquidity risk; Risk management; Financial risk management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305702,0.0001167332,0.0004850542,0.0001126456,0.0002602333,0.00006999002,0.000268653,0.0000503019,0.0000242561],"category_scores_gemma":[0.00114478,0.00009598877,0.0001801655,0.0002026738,0.00009824355,0.0003196301,0.0003134309,0.0002353761,0.000001908522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008398522,"about_ca_system_score_gemma":0.00007118389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009597536,"about_ca_topic_score_gemma":0.0001747859,"domain_scores_codex":[0.9989466,0.0001089333,0.0005042445,0.0002252876,0.00005457287,0.0001603423],"domain_scores_gemma":[0.9984884,0.0004970932,0.0006357889,0.0002089955,0.00014213,0.0000275719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000563156,0.00004207306,0.9627488,0.00005559074,0.002451386,0.00001429593,0.003006955,0.00188167,0.0000183129,0.003535535,0.009946684,0.01624236],"study_design_scores_gemma":[0.001484337,0.0001268069,0.8178157,0.000116562,0.001106543,0.00002798818,0.002599531,0.009541679,0.0006241878,0.1021445,0.06405785,0.0003542718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735993,0.002986326,0.006655693,0.002708449,0.0005421333,0.00005974309,0.00000453439,0.00001315479,0.01343069],"genre_scores_gemma":[0.9929491,0.002180364,0.003969497,0.0001459203,0.0001046962,0.000001790477,1.294825e-7,8.847685e-7,0.000647614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1449331,"threshold_uncertainty_score":0.3914309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527273938359275,"score_gpt":0.2600012435977262,"score_spread":0.2447285042141334,"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."}}