{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01591632,0.0005542915,0.001180624,0.002876159,0.01012553,0.01959684,0.001778767,0.01548224,0.01042243],"category_scores_gemma":[0.05553294,0.0007494618,0.000835909,0.002792702,0.03756972,0.0492587,0.008571141,0.02763069,0.002051977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005441179,"about_ca_system_score_gemma":0.00560166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005602242,"about_ca_topic_score_gemma":0.005444135,"domain_scores_codex":[0.9856789,0.006970062,0.0005562972,0.001372572,0.004184658,0.001237702],"domain_scores_gemma":[0.9356419,0.04133435,0.00493962,0.005847948,0.007837817,0.004398309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000134886,0.00009319781,0.006355881,0.0004744209,0.00009746064,0.0008153251,0.01992764,0.0005393549,0.0006396726,0.6905383,0.1652732,0.1151107],"study_design_scores_gemma":[0.00001427502,0.0000668826,0.002900111,0.001400098,0.00003695448,0.001592185,0.02743353,0.0007492729,0.0004799414,0.5912771,0.3739517,0.00009802487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01095501,0.0268159,0.00659948,0.9158934,0.002480989,0.00001445,0.00008728261,0.00006039487,0.03709322],"genre_scores_gemma":[0.6958913,0.06066743,0.008987089,0.1985707,0.01053165,0.00007130815,0.0001702799,0.0002653746,0.02484483],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01959684,"threshold_uncertainty_score":0.08417451,"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."}}