{"id":"W4285529344","doi":"10.47833/2021.3.csc.005","title":"Domino effect and other models in the IT process","year":2021,"lang":"en","type":"article","venue":"Gradus","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Magna International (Canada)","funders":"","keywords":"Risk analysis (engineering); Domino effect; Identification (biology); Information security management; Computer science; Process (computing); Domino; Risk management; Information security; Personally identifiable information; Security management; Computer security; Knowledge management; Data science; Security information and event management; Business; Cloud computing security","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":[0.0002321685,0.00004178515,0.00004966664,0.00001845592,0.00004072959,0.0001062995,0.0002121714,0.00001920244,0.000004789259],"category_scores_gemma":[0.00001003981,0.0000269373,0.00001340663,0.0001691597,0.00001225457,0.0002680473,0.00003959478,0.00006553149,0.00001446865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000040965,"about_ca_system_score_gemma":0.00002018297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001299809,"about_ca_topic_score_gemma":0.00003452572,"domain_scores_codex":[0.9995962,0.00005545749,0.00006968102,0.00008265404,0.0001091841,0.00008684416],"domain_scores_gemma":[0.9997443,0.00003724939,0.00001612558,0.0001694859,0.00001733736,0.00001550031],"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":[0.00001184652,0.00008923061,0.002235539,0.0001158498,0.00001202139,0.00006857653,0.103307,0.0002582459,0.00003613299,0.8209813,0.003802258,0.06908198],"study_design_scores_gemma":[0.004164811,0.0002047091,0.0149331,0.0001318473,0.00001559393,0.0006014844,0.002138619,0.6600098,0.00833033,0.2407734,0.06791028,0.0007860299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199127,0.0004429437,0.05352863,0.008852286,0.000271377,0.0003534907,0.000002695056,0.00008647746,0.1165494],"genre_scores_gemma":[0.9960991,0.000003359889,0.0002731645,0.003542657,0.00001059397,0.00001167283,3.912007e-7,0.000001213449,0.00005784622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6597515,"threshold_uncertainty_score":0.1098471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808605365774481,"score_gpt":0.2569572619012935,"score_spread":0.2388712082435487,"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."}}