{"id":"W4401630802","doi":"10.1016/j.ifacol.2024.07.301","title":"Resilience Metrics in Power &amp; Control Systems: Comparative Analysis","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Resilience (materials science); Power (physics); Environmental science; Control (management); Computer science; Risk analysis (engineering); Reliability engineering; Engineering; Artificial intelligence; Business; Materials science; Physics","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":[0.006103544,0.0007405998,0.0007806683,0.00833711,0.0003585607,0.001672585,0.0005049752,0.0005900973,0.002984406],"category_scores_gemma":[0.01901344,0.0001399363,0.000733612,0.005709986,0.0008811048,0.003076526,0.001271832,0.0007089606,0.000290567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578557,"about_ca_system_score_gemma":0.0005001582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002427994,"about_ca_topic_score_gemma":0.00180814,"domain_scores_codex":[0.9973482,0.00122054,0.0002084806,0.0002166518,0.0008450288,0.0001610383],"domain_scores_gemma":[0.9850618,0.01144258,0.0009696292,0.0007853825,0.001489961,0.0002507319],"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":[0.0008598017,0.0001745352,0.03388489,0.002380312,0.001348911,0.000218644,0.001101709,0.2929618,0.001345733,0.1271329,0.01088872,0.527702],"study_design_scores_gemma":[0.0001178905,0.00395049,0.167119,0.00191879,0.001302481,0.001004932,0.004504065,0.58437,0.004486346,0.177157,0.05373789,0.0003310577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4960354,0.1547521,0.2463999,0.004672717,0.0008692504,0.0003740807,0.002215975,0.0008721925,0.09380835],"genre_scores_gemma":[0.9791452,0.008982548,0.01006032,0.0000512479,0.0001320547,0.00005896027,0.0004558472,0.00005688504,0.00105691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00833711,"threshold_uncertainty_score":0.03227901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486550198761351,"score_gpt":0.2671413762472839,"score_spread":0.2522758742596704,"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."}}