{"id":"W2809566412","doi":"","title":"IMPACT OF CYBERATTACKS ON FINANCIAL INSTITUTIONS","year":2018,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Audit; Financial services; Computer security; Finance; FinTech; Financial security; Data breach; Accounting; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002266472,0.0003475079,0.0002567681,0.001892747,0.002287784,0.004389839,0.000525964,0.001341165,0.01590543],"category_scores_gemma":[0.01191529,0.0001791859,0.0005624592,0.001363733,0.001683356,0.002917866,0.003354966,0.001778561,0.001109209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002812547,"about_ca_system_score_gemma":0.00238843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005129634,"about_ca_topic_score_gemma":0.006175216,"domain_scores_codex":[0.9956583,0.001575509,0.000243567,0.0002257521,0.001146522,0.001150352],"domain_scores_gemma":[0.9766408,0.005985231,0.01024086,0.001109032,0.003407026,0.002617012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007486026,0.001067218,0.8254756,0.000608839,0.0002796713,0.006229316,0.00850094,0.004729823,0.001588461,0.02394364,0.01090647,0.1159214],"study_design_scores_gemma":[0.00003976086,0.00115882,0.8696441,0.001614261,0.0003113753,0.004082193,0.05392223,0.003724781,0.003452911,0.01109722,0.05079735,0.0001550329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362504,0.001829728,0.0004863508,0.004936634,0.000100037,0.00006381323,0.0002592323,0.00003420896,0.05603972],"genre_scores_gemma":[0.9964107,0.0008858692,0.00009504116,0.0002950176,0.00003319881,0.000007476371,0.00004978013,0.000003584915,0.002219481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01590543,"threshold_uncertainty_score":0.05320901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312497549303246,"score_gpt":0.3021776252236953,"score_spread":0.2790526497306629,"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."}}