{"id":"W4322587886","doi":"10.4324/9781003195580-19","title":"Management of Cybersecurity through Internal Communication","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Information and Cyber Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Internal communications; Perception; Data breach; Business; Set (abstract data type); Public relations; Internet privacy; Knowledge management; Computer science; Political science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003767887,0.0005615968,0.0002160134,0.0008678793,0.001319825,0.005288963,0.0006696073,0.001216857,0.01445984],"category_scores_gemma":[0.0007712223,0.000171202,0.0002219228,0.0009780541,0.001957193,0.004173937,0.001730127,0.00215977,0.00513237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506692,"about_ca_system_score_gemma":0.002336309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409911,"about_ca_topic_score_gemma":0.002542087,"domain_scores_codex":[0.9997025,0.00008416186,0.000007844669,0.00003167845,0.0001418545,0.00003187674],"domain_scores_gemma":[0.9995837,0.0001973101,0.00003914679,0.00003833631,0.00007888578,0.00006261286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008280209,0.0001126166,0.0008163144,0.0004850334,0.000004850103,0.0001676912,0.01052671,0.0007718839,0.001211365,0.3987208,0.2492087,0.3379657],"study_design_scores_gemma":[0.000002529723,0.0000241619,0.0005959276,0.0007486189,0.000003792012,0.0003801942,0.002269154,0.0005383778,0.0004662219,0.0344132,0.9605485,0.000009300026],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005232482,0.02560326,0.01114173,0.01020786,0.00138584,0.00006105359,0.00004037062,0.0002507344,0.9460766],"genre_scores_gemma":[0.07418026,0.05723668,0.01266383,0.004522535,0.00154042,0.0001262857,0.0001410426,0.0002018176,0.8493871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01445984,"threshold_uncertainty_score":0.04837298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785630681628426,"score_gpt":0.2581350905273916,"score_spread":0.2302787837111074,"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."}}