{"id":"W2942230754","doi":"10.4018/jcit.2019070102","title":"An effective cybersecurity training model to support an organizational awareness program: The Cybersecurity Awareness Training Model (CATRAM). A case study in Canada","year":2019,"lang":"en","type":"article","venue":"Repositorio Institucional E-DocUR (Universidad Del Rosario)","topic":"Information and Cyber Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Computer security; Computer science; Knowledge management; Engineering management; Engineering","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":[0.001672314,0.0002775971,0.0001349876,0.0005723338,0.003031287,0.001622712,0.001497298,0.000906143,0.002869687],"category_scores_gemma":[0.0023151,0.0001536872,0.0002218545,0.0006453136,0.0009809447,0.001257093,0.001521571,0.001050633,0.0002712107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01282429,"about_ca_system_score_gemma":0.02832503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3926158,"about_ca_topic_score_gemma":0.6218845,"domain_scores_codex":[0.9988484,0.0004724882,0.00002597969,0.00009178192,0.0002217873,0.0003395386],"domain_scores_gemma":[0.9986022,0.0002846706,0.0001076394,0.00007762064,0.0002535779,0.00067432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004486222,0.01976578,0.1372397,0.001053357,0.00007129626,0.004816961,0.09658413,0.01949705,0.00911591,0.06152216,0.03125219,0.6186329],"study_design_scores_gemma":[0.0008546403,0.0064429,0.2377007,0.001352976,0.0003352435,0.003102026,0.3396678,0.114505,0.01170393,0.009689365,0.2743632,0.0002822322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383217,0.000411097,0.01072269,0.005008046,0.00008638808,0.00122448,0.0001422112,0.0001521742,0.0439313],"genre_scores_gemma":[0.9724842,0.0004368596,0.01663284,0.0003596954,0.000005773231,0.0002722381,0.00009093034,0.00001531033,0.009702099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6073842,"threshold_uncertainty_score":0.780661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557674536056256,"score_gpt":0.2793133112337167,"score_spread":0.2537365658731542,"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."}}