{"id":"W4287150833","doi":"10.18280/ijsse.120304","title":"Cybersecurity Training in Norwegian Critical Infrastructure Companies","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Information and Cyber Security","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Best practice; Norwegian; Maturity (psychological); Business; Critical infrastructure; Training (meteorology); Implementation; Curriculum; Security awareness; Public relations; Computer security; Knowledge management; Engineering; Psychology; Information security; Computer science; Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005596881,0.000100367,0.0001787637,0.0003120783,0.00009201132,0.0001080016,0.0006811979,0.00003362432,0.00005886095],"category_scores_gemma":[0.0001262201,0.000107168,0.00006611852,0.0001794515,0.00002817541,0.0008826168,0.0003096422,0.0006188045,6.724391e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417687,"about_ca_system_score_gemma":0.00009003343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008850901,"about_ca_topic_score_gemma":0.000006183946,"domain_scores_codex":[0.9987196,0.00004318826,0.0004649185,0.0001008621,0.0005088552,0.0001626312],"domain_scores_gemma":[0.999445,0.0001265815,0.0001196668,0.00008267002,0.0001392694,0.00008684095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000995691,0.00006696602,0.0005310236,0.00002682054,0.00006674571,0.0002825612,0.08220809,0.04797565,0.00007470293,0.8551852,0.0001189876,0.01336374],"study_design_scores_gemma":[0.003093456,0.0002761353,0.03406824,0.0001670181,0.00001440888,0.004889058,0.009411577,0.7755463,0.0001432597,0.03754402,0.1341326,0.0007140236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6351035,0.0009891774,0.3318227,0.01620206,0.01019921,0.0002261333,0.00009611824,0.0001543783,0.005206723],"genre_scores_gemma":[0.9964808,0.00005423392,0.003029977,0.0003148463,0.0001101494,0.000001329834,0.000002728787,0.000004018659,0.00000190428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8176411,"threshold_uncertainty_score":0.4370183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006472811295897037,"score_gpt":0.2274233664677814,"score_spread":0.2209505551718844,"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."}}