{"id":"W4416343111","doi":"10.1109/epec65543.2025.11230436","title":"Robust Local Contingency Planning in Power Grids Using Spatio-Temporal Graph Neural Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Graph; Stability (learning theory); Reinforcement learning; Residual; Artificial neural network; Electric power system; Contingency; Regularization (linguistics); Benchmark (surveying)","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":[0.0005662676,0.0007090089,0.0005290413,0.0004189726,0.00031702,0.0006019125,0.0008088397,0.0005743714,0.0008405132],"category_scores_gemma":[0.001910208,0.000445453,0.0003676588,0.0004041348,0.00063617,0.0009175989,0.0005985447,0.0008719737,0.0001063797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116326,"about_ca_system_score_gemma":0.0009057106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462176,"about_ca_topic_score_gemma":0.02491946,"domain_scores_codex":[0.9998298,0.00005794035,0.000006366662,0.00004650549,0.00003046276,0.00002894299],"domain_scores_gemma":[0.9993402,0.0004062575,0.0001033076,0.00003081822,0.00008109002,0.0000382953],"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":[0.000007362052,0.000002967975,0.0001215654,0.00000381137,0.000003949336,0.000009144293,0.000003693853,0.9972631,0.00007864585,0.0005999102,0.00006442406,0.001841546],"study_design_scores_gemma":[6.637549e-7,0.000002492755,0.00002531647,6.000313e-7,6.931716e-7,9.802116e-7,0.00000109468,0.9993293,0.00002620083,0.0005944759,0.00001764644,5.717005e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1677583,0.0006711751,0.8260082,0.000669183,0.00005904175,0.00004217557,0.000159975,0.0007860516,0.003846006],"genre_scores_gemma":[0.9833072,0.0001207655,0.01572154,0.00004653415,0.00001239934,0.00002375553,0.00006885603,0.00002995516,0.0006690136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02462176,"threshold_uncertainty_score":0.04895687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797339873575791,"score_gpt":0.2460923572546409,"score_spread":0.228118958518883,"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."}}