{"id":"W2142729838","doi":"10.1109/psce.2006.296348","title":"Determination of an Accurate Dynamic Security Constraint with Applications in Market Dispatch","year":2006,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Constraint (computer-aided design); Computer science; Electric power system; Mathematical optimization; Electricity market; Stability (learning theory); Transient (computer programming); Linear programming; Electricity; Power (physics); Algorithm; 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":[0.001073699,0.0005635418,0.0009626375,0.0006266655,0.0003886275,0.001193587,0.0006789924,0.0006225886,0.002226446],"category_scores_gemma":[0.007002559,0.0004810457,0.0003490672,0.0009340495,0.0004915187,0.00186501,0.0007158588,0.0009769677,0.0004772526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004575819,"about_ca_system_score_gemma":0.0007757372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581684,"about_ca_topic_score_gemma":0.001531519,"domain_scores_codex":[0.9992164,0.0002268633,0.00004018522,0.00009963862,0.0003682545,0.00004859422],"domain_scores_gemma":[0.997792,0.001516591,0.0001775722,0.0001574115,0.0003293465,0.00002706469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004139368,0.0000327136,0.0006208392,0.00005000665,0.00001049691,0.00007348532,0.00004981407,0.9134921,0.005929835,0.01735964,0.0004633409,0.06187625],"study_design_scores_gemma":[0.000002445409,0.000006734962,0.0001108236,0.000002398868,7.229926e-7,0.00001116516,0.000004337964,0.9963855,0.001271762,0.001819599,0.0003804457,0.000004180082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01260571,0.00003229035,0.9865303,0.00003770073,0.000004936768,0.0000113224,0.00002771169,0.00008477981,0.0006652328],"genre_scores_gemma":[0.6400875,0.0001597284,0.3580561,0.00002442852,0.00002556725,0.00007976035,0.0002266142,0.0001909906,0.001149197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002581684,"threshold_uncertainty_score":0.007448196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00328560166198449,"score_gpt":0.212868027219642,"score_spread":0.2095824255576575,"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."}}