{"id":"W2544089229","doi":"10.1109/tic-sth.2009.5444418","title":"Predicting electric power system restoration","year":2009,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Electric power system; Universality (dynamical systems); Computer science; Electric power; Reliability engineering; Power grid; Maintenance engineering; Nuclear power; Power (physics); Engineering","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":[0.00005676493,0.00004806311,0.00004759785,0.00004440399,0.00004123021,0.00001843697,0.00005000864,0.00003956428,0.00001025497],"category_scores_gemma":[0.000008796502,0.00004204481,0.00001502136,0.0001578277,0.000002415586,0.00009933358,0.000002053674,0.00006912954,0.00004624813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004196247,"about_ca_system_score_gemma":0.000004658448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002962154,"about_ca_topic_score_gemma":0.000002542646,"domain_scores_codex":[0.9996478,0.000006375264,0.00008535904,0.00006138496,0.00008356287,0.0001154997],"domain_scores_gemma":[0.9998609,0.0000100772,0.000006782429,0.00008053563,0.00001219796,0.0000294381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005379779,0.0001638669,0.01667297,0.0004393996,0.00008991147,0.0001226747,0.005839851,0.3620005,0.4150001,0.1251579,0.0554726,0.01898653],"study_design_scores_gemma":[0.0002299988,0.0001642825,0.0348665,0.00006625432,0.000009171215,0.00005019997,0.0003907086,0.9287878,0.03159298,0.00009759628,0.003459645,0.0002848461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188777,0.0002735725,0.005884301,0.00004140912,0.0003996361,0.00007019803,2.434259e-7,0.0009112364,0.07354175],"genre_scores_gemma":[0.9996642,0.000007633418,0.0001248651,0.00002567321,0.0000940126,0.000001322725,6.966528e-7,0.000003887053,0.0000777064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5667873,"threshold_uncertainty_score":0.1714537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0037085276788835,"score_gpt":0.1809976018242706,"score_spread":0.1772890741453871,"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."}}