{"id":"W2906400490","doi":"10.1109/jsyst.2018.2881558","title":"A New Approach for Contingency Analysis Based on Centrality Measures","year":2018,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Electric power system; Reliability engineering; Contingency; Electric power transmission; Context (archaeology); Computer science; Reliability (semiconductor); Centrality; Power-system protection; Network analysis; Network topology; Electric power; Electrical network; Power (physics); Engineering; Computer network; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006786541,0.0008812954,0.0006012233,0.004029666,0.000573287,0.001079109,0.0009382126,0.0005918713,0.002333193],"category_scores_gemma":[0.003383835,0.0002968303,0.0008915319,0.002034504,0.0006432508,0.001613415,0.0009436556,0.001199011,0.0005340358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007345302,"about_ca_system_score_gemma":0.0006448157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00317936,"about_ca_topic_score_gemma":0.003552631,"domain_scores_codex":[0.9990849,0.0002626693,0.00004384762,0.0001970308,0.0003553055,0.00005625659],"domain_scores_gemma":[0.9988084,0.000613661,0.0001229854,0.0001044936,0.0002835528,0.00006698088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000142273,0.00016962,0.005133921,0.0003270137,0.0003244899,0.0005596101,0.0004732112,0.334745,0.0242504,0.2400541,0.006577134,0.3872432],"study_design_scores_gemma":[0.00001534025,0.00006778217,0.001259417,0.00002349736,0.00004207302,0.0003038255,0.00006469633,0.9324113,0.002045589,0.05626613,0.007460324,0.0000399313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003675547,0.0002307517,0.9942356,0.00006060449,0.0000579636,0.0000414444,0.00006404474,0.0001334088,0.001500604],"genre_scores_gemma":[0.2470963,0.0007811865,0.7476319,0.000107106,0.0003372038,0.0002321943,0.0004108816,0.0002236935,0.00317949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004029666,"threshold_uncertainty_score":0.007805288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03903214974377082,"score_gpt":0.3032712042714847,"score_spread":0.2642390545277139,"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."}}