{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004277473,0.0008663067,0.0008379291,0.003390197,0.00230463,0.005806131,0.001859991,0.002830735,0.04713805],"category_scores_gemma":[0.01162433,0.0004315175,0.001707895,0.002381778,0.008138881,0.008638802,0.002354038,0.002217446,0.002968223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005764673,"about_ca_system_score_gemma":0.004480015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0190439,"about_ca_topic_score_gemma":0.01187825,"domain_scores_codex":[0.9978105,0.0006113923,0.00006697307,0.0003538535,0.0005793191,0.0005779583],"domain_scores_gemma":[0.9931741,0.004208489,0.0007031182,0.0006268713,0.0006093808,0.0006779695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001702701,0.00001984616,0.0005366538,0.00002411932,0.000006404027,0.00005046095,0.0002273032,0.003515695,0.00007062165,0.9922003,0.0009195418,0.002412061],"study_design_scores_gemma":[0.00009124407,0.00004599856,0.001144591,0.00008613829,0.00002786449,0.0001715973,0.0004266148,0.03251906,0.0001754415,0.9387413,0.02653314,0.0000371146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06180559,0.003272079,0.2166953,0.0132423,0.0003935948,0.0003613762,0.0004248784,0.0003594371,0.7034454],"genre_scores_gemma":[0.8884413,0.003004527,0.009367862,0.0006022467,0.0002721454,0.0002753884,0.00008724377,0.00008840326,0.09786085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04713805,"threshold_uncertainty_score":0.1576924,"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."}}