{"id":"W2162668316","doi":"10.1109/iciea.2013.6566517","title":"Modeling cascading failures in smart power grid using interdependent complex networks and percolation theory","year":2013,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada","keywords":"Cascading failure; Interdependent networks; Computer science; Distributed computing; Robustness (evolution); Smart grid; Telecommunications network; Complex network; Grid; Electric power system; Power-system protection; Interdependence; Node (physics); Computer network; Power (physics); Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005445026,0.0006265201,0.000490281,0.0009103977,0.00057644,0.0009625046,0.001029832,0.001136333,0.001282384],"category_scores_gemma":[0.002391729,0.0003826251,0.0006576242,0.000754411,0.001235897,0.002069318,0.0008989011,0.0009529804,0.0001575387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154242,"about_ca_system_score_gemma":0.0006107064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007510332,"about_ca_topic_score_gemma":0.004921441,"domain_scores_codex":[0.9996655,0.0001525669,0.000013594,0.00005532144,0.00006585052,0.00004719212],"domain_scores_gemma":[0.9988714,0.0007475234,0.0001783293,0.00006219297,0.00007630455,0.00006412437],"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":[0.00001125664,0.00001521773,0.0007444861,0.00001832811,0.00001660516,0.00009499667,0.00005114975,0.9627877,0.0005438051,0.03390585,0.0002692295,0.001541269],"study_design_scores_gemma":[0.000002877329,0.000005360043,0.0001471467,0.000002474075,0.000003730959,0.00001369735,0.0000141969,0.9814105,0.00005401853,0.01813951,0.0002026776,0.000003811762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1253537,0.0007182945,0.8638562,0.001033544,0.00006849322,0.00007203141,0.0001252482,0.0002548166,0.008517693],"genre_scores_gemma":[0.9676282,0.000811264,0.02829477,0.0001005676,0.0000531874,0.0001013363,0.00005868759,0.00004968056,0.00290234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007510332,"threshold_uncertainty_score":0.01493323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178827308250699,"score_gpt":0.2620456483797714,"score_spread":0.2441629175547015,"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."}}