{"id":"W2114528718","doi":"10.1109/ccece.2007.73","title":"Areas of Vulnerability in an Environment of Uncertainty","year":2007,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Vulnerability (computing); Electric power system; Remedial education; Wind power; Remedial action; Computer science; Vulnerability assessment; Reliability engineering; Deregulation; Risk analysis (engineering); Engineering; Power (physics); Psychological resilience; Business; Computer security; Electrical engineering; Economics; Mathematics","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":[0.0005389128,0.00004871606,0.0001249113,0.00003846448,0.000003691258,0.000001068014,0.00005282696,0.00003503039,0.0002667167],"category_scores_gemma":[0.00001294308,0.00004422417,0.00002141168,0.00005562262,0.00002722436,0.00004204804,0.000007333832,0.00003557542,0.000001357675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005812527,"about_ca_system_score_gemma":0.000004300245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006671106,"about_ca_topic_score_gemma":0.0003147255,"domain_scores_codex":[0.9994321,0.0000238651,0.0003020385,0.00007394354,0.00008388436,0.0000841301],"domain_scores_gemma":[0.9996894,0.00003547455,0.00001894357,0.0002111394,0.00000773288,0.00003730518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00002191827,0.0001792245,0.2297879,0.00008359804,0.000006494275,5.080336e-7,0.0007444987,0.7635314,0.002828925,0.0004640383,0.00001269511,0.00233883],"study_design_scores_gemma":[0.0005489304,0.00007363487,0.7324136,0.00001481632,0.000002913717,5.77393e-7,0.0008195821,0.239254,0.02595314,0.0002030113,0.000548055,0.0001677157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006573,0.00002408312,0.0883181,0.000003796218,0.00004139601,0.00009372496,0.000003654518,0.00002669034,0.01083124],"genre_scores_gemma":[0.9990677,0.000003206128,0.0009001578,0.000002693003,0.000001873638,0.000001457256,0.000003174319,0.000003742171,0.00001598666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5242774,"threshold_uncertainty_score":0.2920361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154291446296809,"score_gpt":0.2334776575040442,"score_spread":0.2219347430410761,"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."}}