{"id":"W4313152279","doi":"10.1504/ijics.2022.127169","title":"Data breach: analysis, countermeasures and challenges","year":2022,"lang":"en","type":"article","venue":"International Journal of Information and Computer Security","topic":"Information and Cyber Security","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Data breach; Computer security; Computer science; Government (linguistics); Big data; Countermeasure; Internet privacy; Data science; Data mining; Engineering","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":[0.00112919,0.00009944619,0.0001757996,0.0005370363,0.0001497669,0.0004511224,0.001588262,0.00002613583,0.00002661471],"category_scores_gemma":[0.00002005169,0.00009269278,0.00005969229,0.0002011278,0.00003400366,0.004433471,0.00147981,0.0002411612,0.000002496023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004444406,"about_ca_system_score_gemma":0.00007619693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407975,"about_ca_topic_score_gemma":0.00001129032,"domain_scores_codex":[0.998337,0.00009005865,0.00057439,0.0001086812,0.0007869546,0.000102863],"domain_scores_gemma":[0.9986205,0.00005278622,0.0005342814,0.0002828852,0.0004192552,0.00009032087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001014691,0.000188027,0.001944919,0.0000492003,0.001382405,0.00003597113,0.03337365,0.0007258674,0.00000138143,0.4593593,0.007365497,0.4954724],"study_design_scores_gemma":[0.0009787534,0.0001406626,0.01952819,0.00001045261,0.00004760026,0.001041587,0.0007211462,0.5134773,0.000005915231,0.003121976,0.460736,0.0001904169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05882494,0.004088817,0.9112378,0.01785601,0.003881136,0.0002124949,0.0003224211,0.0001141498,0.00346224],"genre_scores_gemma":[0.991823,0.001357001,0.004273289,0.002357002,0.0001191635,0.000001908557,0.0000641726,0.000001880347,0.000002548235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9329981,"threshold_uncertainty_score":0.4350184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725649646269666,"score_gpt":0.2583611267456642,"score_spread":0.2311046302829675,"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."}}