{"id":"W2373955750","doi":"","title":"Recognizing power oscillations in depth to improve power network configuration and arrange islanding of a grid rationally","year":2004,"lang":"en","type":"article","venue":"Electric Power","topic":"Power Systems and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Islanding; Power (physics); Electric power system; Power network; Maximum power transfer theorem; Power grid; Grid; Three gorges; Electrical engineering; Engineering; Computer science; Geography; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002067827,0.0001563177,0.0002249834,0.0002966977,0.00005206276,0.00003468464,0.00009058465,0.0001252826,0.00002640909],"category_scores_gemma":[0.0001062757,0.0001554825,0.00003632851,0.0007292304,0.00001418981,0.0001742823,0.00001988512,0.0001711615,0.00001368599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258149,"about_ca_system_score_gemma":0.00004024772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003444179,"about_ca_topic_score_gemma":0.000156377,"domain_scores_codex":[0.9989659,0.00001370435,0.0003427607,0.0002034798,0.0001473436,0.0003268618],"domain_scores_gemma":[0.9996176,0.00005654214,0.0000588927,0.0001634127,0.00005467986,0.00004883636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002104694,0.0002823925,0.02806616,0.0002043831,0.0005300096,0.0000852896,0.01104438,0.08180232,0.7861813,0.06131689,0.01351368,0.01676267],"study_design_scores_gemma":[0.01331679,0.00414337,0.6260971,0.002198862,0.0001614613,0.0002822088,0.002122011,0.01104257,0.2235149,0.03312173,0.07821868,0.005780213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416178,0.001755087,0.03409062,0.0002860931,0.001022117,0.0006204972,0.00001362038,0.0003300922,0.020264],"genre_scores_gemma":[0.9988819,0.0000364366,0.0008845617,0.00004815032,0.00004636878,0.00003425623,0.000005442163,0.0000236081,0.00003926357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598031,"threshold_uncertainty_score":0.6340393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006833100115429988,"score_gpt":0.2018183571678846,"score_spread":0.1949852570524546,"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."}}