{"id":"W1960669369","doi":"10.1109/pes.2004.1372772","title":"Integrating security constraints in optimal power flow studies","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Power flow; Computer science; Power (physics); Transient (computer programming); Electric power system; Flow (mathematics); Power-flow study; Stability (learning theory); State (computer science); Steady state (chemistry); Reliability engineering; Engineering; Mathematics; Operating system; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007981386,0.0005154155,0.0005736346,0.000104166,0.00009287189,0.00008024704,0.0002655499,0.0002601201,0.00006395328],"category_scores_gemma":[0.0002060405,0.0005412095,0.0003033728,0.0004953384,0.0001213397,0.0002491694,0.00004706083,0.0005961474,0.00002480396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007465028,"about_ca_system_score_gemma":0.00006719199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002606328,"about_ca_topic_score_gemma":0.00002726613,"domain_scores_codex":[0.997629,0.00004376598,0.0007366369,0.0004695601,0.0003414227,0.0007796422],"domain_scores_gemma":[0.999157,0.00008214176,0.00007184317,0.0003645172,0.0001387633,0.0001857295],"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":[0.000002982706,0.00004290316,0.0002719208,0.0001284871,0.0001362821,0.00001338401,0.01031925,0.9833831,0.003907226,0.0002202335,0.001530997,0.00004330463],"study_design_scores_gemma":[0.002810079,0.0001152106,0.0005091264,0.0009375673,0.00004196356,0.00006412624,0.004398968,0.9709108,0.01502716,0.0001255011,0.003175852,0.001883678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685811,0.004023252,0.2181275,0.0001349788,0.004336916,0.0005492644,0.00005495154,0.001484548,0.002707467],"genre_scores_gemma":[0.9380802,0.00009785242,0.06144421,0.00009082091,0.00009396893,0.00005317571,0.000009112227,0.00008943402,0.00004124964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1694991,"threshold_uncertainty_score":0.9997039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008383108265596479,"score_gpt":0.2317767881814443,"score_spread":0.2233936799158478,"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."}}