{"id":"W2146028435","doi":"10.1109/ccece.1998.685615","title":"An intelligent training agent for power system restoration","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Blackout; Computer science; Graphical user interface; Electric power system; Operator (biology); Simulation; Process (computing); Interface (matter); Training system; Outcome (game theory); Power (physics); Operating system","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":[0.0001698568,0.00007819887,0.00009984233,0.00004030138,0.00004296667,0.00004024418,0.00006281674,0.00004492087,0.0002788731],"category_scores_gemma":[0.0000118606,0.00007291696,0.00003641476,0.00006716543,0.000005443891,0.00012458,0.00000262261,0.00002893171,0.00004302875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138105,"about_ca_system_score_gemma":0.000002822631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001840963,"about_ca_topic_score_gemma":0.00001045618,"domain_scores_codex":[0.9994513,0.00002057223,0.000211339,0.0001118074,0.00007725511,0.000127718],"domain_scores_gemma":[0.9996813,0.00001770394,0.00001509203,0.0001864187,0.00003905617,0.00006041906],"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":[0.00002330683,0.0001794359,0.0002877773,0.0008207374,0.0001072675,0.000004864982,0.03154016,0.8657894,0.002634415,0.05208294,0.02810795,0.01842179],"study_design_scores_gemma":[0.0001097813,0.00004152048,0.00004714169,0.00001325122,0.000003550738,0.000002350995,0.001895293,0.9774794,0.0005312437,0.000005087583,0.01976528,0.0001061011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008732519,0.00009087949,0.9541463,0.00002577883,0.000701769,0.0003209435,0.000007254319,0.0006755165,0.03529907],"genre_scores_gemma":[0.9955819,0.00000308704,0.003999765,0.00002332959,0.00002154017,0.00004245524,0.000008504024,0.00001637326,0.000303066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9868494,"threshold_uncertainty_score":0.3053465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05177540495604337,"score_gpt":0.2441464778120904,"score_spread":0.192371072856047,"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."}}