{"id":"W4224323022","doi":"10.1049/gtd2.12485","title":"Out‐of‐step detection of synchronous generators using dual computational techniques based on correlation and instantaneous powers","year":2022,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Synchronism; Asynchronous communication; Computer science; Control theory (sociology); Fault (geology); Transient (computer programming); Permanent magnet synchronous generator; Relay; Power (physics); Electric power system; Generator (circuit theory); MATLAB; Voltage; Engineering; Electrical engineering","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":[0.0003034502,0.0001509476,0.0001914099,0.0001265561,0.000237018,0.00001790819,0.0000441289,0.00008919066,0.0000747844],"category_scores_gemma":[0.00001496065,0.0001683615,0.00006317998,0.0002623332,0.00003998429,0.0001030587,0.000008193763,0.0001286759,3.475197e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003052512,"about_ca_system_score_gemma":0.00007165694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000118281,"about_ca_topic_score_gemma":0.00000445302,"domain_scores_codex":[0.9986269,0.0001692962,0.000504648,0.000205322,0.0003777574,0.0001160419],"domain_scores_gemma":[0.9995052,0.00003957614,0.0001372732,0.0001238478,0.0001319072,0.00006214979],"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":[0.00005958354,0.00007125282,0.00009974092,0.00005504761,0.0000102735,0.000001041026,0.0001398932,0.8678363,0.1237979,0.0001041205,0.00006336148,0.007761502],"study_design_scores_gemma":[0.0003562649,0.0002002582,0.0002425805,0.00001968218,0.00002177146,0.00000975741,0.00005956614,0.911429,0.08677646,0.00001665662,0.0007295543,0.0001384657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2129414,0.00008705511,0.7858585,0.0000186606,0.0003315538,0.0002812703,0.0003210184,0.0001064271,0.00005412494],"genre_scores_gemma":[0.9944916,0.00001197893,0.004314988,0.00001318806,0.00002195323,0.00002417966,0.001101785,0.0000176205,0.000002714861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7815502,"threshold_uncertainty_score":0.6865583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020274452705367,"score_gpt":0.2155848967557514,"score_spread":0.2053821522286977,"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."}}