{"id":"W1645716823","doi":"10.1109/pes.2005.1489737","title":"Optimal power flow based loadability assessment with detailed complementarity model for synchronous generators","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Power flow; Limit (mathematics); Complementarity (molecular biology); AC power; Computer science; Operating point; Voltage; Electric power system; Mathematical optimization; Mathematics; Power (physics); Engineering; Physics; Electronic engineering; Electrical engineering; Control (management)","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":[0.0005039107,0.0007832865,0.0008412845,0.0006296518,0.0003503881,0.000876712,0.0007406866,0.0007151418,0.003045444],"category_scores_gemma":[0.00124744,0.0005709825,0.0007041835,0.0005587246,0.0008169596,0.001391756,0.0007553624,0.0007191316,0.0002807057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153492,"about_ca_system_score_gemma":0.001149495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009848261,"about_ca_topic_score_gemma":0.00643669,"domain_scores_codex":[0.9997588,0.00008830945,0.000006028631,0.00002937578,0.0000815122,0.0000359676],"domain_scores_gemma":[0.9996901,0.0001896418,0.00003772496,0.00001711188,0.00004703916,0.00001839583],"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":[0.000006292989,0.000005443953,0.00003266748,0.000007255859,0.000003124032,0.00001191567,0.000007369356,0.9896531,0.0002360645,0.008479537,0.000106788,0.001450575],"study_design_scores_gemma":[0.000001451807,0.000004037385,0.00001618963,9.691655e-7,9.021709e-7,0.000001283311,0.000001168085,0.9963028,0.00006399473,0.003521727,0.00008416034,0.000001346473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01383955,0.00006534359,0.9779748,0.00009958283,0.00001002154,0.00004507463,0.00007133254,0.00009424033,0.007800054],"genre_scores_gemma":[0.9277875,0.0002206463,0.06464762,0.00008249928,0.00002458912,0.0002552913,0.0001829074,0.00007406749,0.006724966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009848261,"threshold_uncertainty_score":0.01958191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008503141646060537,"score_gpt":0.2284967545640289,"score_spread":0.2199936129179683,"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."}}