{"id":"W4241584538","doi":"10.1109/isci53438.2021.00013","title":"RiskISM: A Risk Assessment Tool for Substations","year":2021,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Downtime; Failure mode, effects, and criticality analysis; Computer science; Criticality; Reliability engineering; Risk assessment; Visualization; Identification (biology); Risk analysis (engineering); Computer security; Engineering; Data mining; Failure mode and effects analysis","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":[0.003604295,0.002005901,0.0006127423,0.00339113,0.0006723631,0.002827886,0.001698101,0.001465502,0.01864615],"category_scores_gemma":[0.01418771,0.000911537,0.001738641,0.000982767,0.0006560332,0.004601353,0.002666215,0.001930146,0.003431445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009731084,"about_ca_system_score_gemma":0.001311564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554714,"about_ca_topic_score_gemma":0.003130574,"domain_scores_codex":[0.9985816,0.0004001368,0.0002185698,0.000185516,0.0005170345,0.00009713546],"domain_scores_gemma":[0.9924274,0.004844399,0.0007036293,0.0008916798,0.0009484263,0.0001842936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000891758,0.0006381208,0.02301845,0.001865427,0.0004146566,0.001758663,0.005780932,0.303143,0.02227728,0.1343059,0.1075321,0.3983736],"study_design_scores_gemma":[0.0001623076,0.0002302441,0.003647987,0.0004760807,0.0001115625,0.0007280256,0.000548997,0.7618512,0.01420887,0.07994356,0.1378976,0.0001935726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0141166,0.00009593101,0.8744022,0.0006309489,0.00006605824,0.0004055685,0.00532735,0.09667879,0.008276537],"genre_scores_gemma":[0.2412948,0.0002837422,0.7360317,0.0002643311,0.00004958491,0.0009845326,0.007895933,0.006795556,0.006399759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01864615,"threshold_uncertainty_score":0.06237757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007270698995584531,"score_gpt":0.2508006849538263,"score_spread":0.2435299859582418,"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."}}