{"id":"W2079284766","doi":"10.1016/s1754-4548(07)70050-5","title":"Know thy enemy – The rise of data breach and how best to avoid it","year":2007,"lang":"en","type":"article","venue":"Infosecurity","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"PQ Corporation (Canada)","funders":"","keywords":"Laptop; Data breach; Adversary; Statistic; Hacker; Computer security; Internet privacy; Business; Statistics; Computer science; Mathematics; Operating system","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":[0.003721193,0.0001065017,0.0001483673,0.00007022014,0.0005182984,0.0001343028,0.001243438,0.0001244875,0.00005698614],"category_scores_gemma":[0.001655718,0.00008582781,0.00002912181,0.0003604683,0.0003913796,0.0007824295,0.001009988,0.0002327797,0.00003003255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003916304,"about_ca_system_score_gemma":0.0001062088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0119722,"about_ca_topic_score_gemma":0.03973485,"domain_scores_codex":[0.9986265,0.0001802366,0.0001746328,0.0002836226,0.0004165896,0.0003184693],"domain_scores_gemma":[0.998439,0.0002800176,0.0001045875,0.0008950248,0.0001094709,0.0001719451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003108705,0.0007470127,0.02598257,0.0002467034,0.0001155244,0.0000218612,0.1442749,8.162085e-7,0.001802894,0.05290971,0.2194514,0.5541358],"study_design_scores_gemma":[0.000189535,0.00005551846,0.005257619,0.00002722315,0.00001962519,0.000003014541,0.005781387,0.00002032479,0.0005683471,0.004134996,0.9838023,0.0001401467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8342057,0.005538126,0.004953259,0.07232063,0.001144209,0.0020675,0.001108435,0.0002028076,0.07845937],"genre_scores_gemma":[0.9976746,0.0007908061,0.0004779821,0.0003397587,0.0004664392,0.000006338063,0.00002211257,0.000006520286,0.0002153886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7643509,"threshold_uncertainty_score":0.9946072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06191539405868424,"score_gpt":0.3516187622920323,"score_spread":0.2897033682333481,"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."}}