{"id":"W1604928349","doi":"10.1111/mice.12064","title":"Models for Seismic Vulnerability Analysis of Power Networks: Comparative Assessment","year":2014,"lang":"en","type":"article","venue":"Computer-Aided Civil and Infrastructure Engineering","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"European Commission","keywords":"Component (thermodynamics); Vulnerability (computing); Vulnerability assessment; Computer science; Electric power system; Prioritization; Identification (biology); Reliability engineering; Rank (graph theory); Power (physics); Engineering; Mathematics; Computer 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000391818,0.0004062383,0.001031336,0.0004458212,0.0001044059,0.00006822124,0.0002590805,0.0001833073,0.00003604811],"category_scores_gemma":[0.00002022183,0.0003764404,0.000327089,0.0008911144,0.0000855524,0.0002983555,0.00007194961,0.0003502946,1.970887e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008944122,"about_ca_system_score_gemma":0.00001725314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007982168,"about_ca_topic_score_gemma":0.00001266893,"domain_scores_codex":[0.9982449,0.00005305203,0.0006195221,0.0004398997,0.0002110493,0.0004315723],"domain_scores_gemma":[0.9987622,0.0003754651,0.0001000039,0.0004623092,0.0001435428,0.0001564286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006867926,0.00001093949,0.001004058,0.0001349648,0.0009546398,2.139986e-7,0.0002904337,0.9917184,0.000337401,0.00195056,0.0001559806,0.003435534],"study_design_scores_gemma":[0.0003046761,0.00009151424,0.04461837,0.00003018886,0.0004660411,0.000002228771,0.0000301821,0.9521223,0.0001559068,0.001466129,0.0003623685,0.0003501338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2156007,0.0001441727,0.7833524,0.00000901338,0.0002660117,0.0001900614,0.00002782226,0.0001500467,0.0002597305],"genre_scores_gemma":[0.9716067,0.00002544918,0.02805003,0.00004458043,0.0001576903,0.00002914213,0.00005619743,0.00002793878,0.00000230153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7560059,"threshold_uncertainty_score":0.9998688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006813544686530976,"score_gpt":0.2281231679512383,"score_spread":0.2213096232647073,"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."}}