{"id":"W2120677853","doi":"10.1109/isap.2009.5352833","title":"Multiobjective Power System Optimization Including Security Constraints","year":2009,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Key (lock); Power flow; Mathematical optimization; Electric power system; Power (physics); Operator (biology); Transmission (telecommunications); Power transmission; Reliability engineering; Engineering; Mathematics; Computer security; Telecommunications","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":[0.00009694637,0.0001250313,0.0001200651,0.00005693271,0.00005817769,0.0000375872,0.00006447281,0.00008622535,0.0001353884],"category_scores_gemma":[0.00002348441,0.000131542,0.00003881457,0.0001583914,0.00002348947,0.000226912,0.00001115566,0.0001063197,0.00006448461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117406,"about_ca_system_score_gemma":0.000008873495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003108011,"about_ca_topic_score_gemma":8.380636e-7,"domain_scores_codex":[0.9993647,0.00001506144,0.0001708902,0.0001363351,0.0001150352,0.0001979866],"domain_scores_gemma":[0.9997152,0.00001540303,0.00001961802,0.0001172951,0.0000697052,0.00006278838],"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":[0.00001271792,0.00004806476,0.000126529,0.00004226467,0.00004075199,0.0000128445,0.0005542544,0.9791485,0.002514445,0.01447353,0.001475539,0.001550554],"study_design_scores_gemma":[0.0003997939,0.00005660942,0.0009619523,0.00004519446,0.00001135142,0.00002015389,0.0006003486,0.9925713,0.004942775,0.00005893442,0.00008886525,0.0002427263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06046716,0.00004707258,0.7633145,0.00003810496,0.0004249786,0.0002755386,0.00004141352,0.001622455,0.1737688],"genre_scores_gemma":[0.9949448,0.000002635053,0.004938759,0.00002334786,0.00002984695,0.000003924467,0.0000359092,0.000011028,0.000009823561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9344776,"threshold_uncertainty_score":0.5364126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006448103206335202,"score_gpt":0.2172690065463687,"score_spread":0.2108209033400335,"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."}}