{"id":"W2120632968","doi":"10.1109/pes.2011.6038936","title":"Support vector machine-based algorithm for post-fault transient stability status prediction using synchronized measurements","year":2011,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Hydro; University of Manitoba","funders":"","keywords":"Phasor; Control theory (sociology); Electric power system; Transient (computer programming); Transient voltage suppressor; Voltage; Fault (geology); Phasor measurement unit; Robustness (evolution); Support vector machine; Computer science; Engineering; Algorithm; Power (physics); Artificial intelligence; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005194817,0.000225617,0.0002651805,0.00007817143,0.00008930742,0.00002644473,0.0001004814,0.0001055576,0.001446118],"category_scores_gemma":[0.00003862156,0.0002123593,0.0001370684,0.0001403895,0.00003111244,0.000193693,0.000005934548,0.00008618319,0.000006645026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004530778,"about_ca_system_score_gemma":0.0001360066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001917373,"about_ca_topic_score_gemma":0.0001285382,"domain_scores_codex":[0.9984095,0.00007314349,0.0005021879,0.0003020793,0.0002967845,0.0004163188],"domain_scores_gemma":[0.999081,0.0000304245,0.00004473955,0.0003343413,0.0003121795,0.0001973534],"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":[0.004339121,0.009971065,0.1597351,0.0106654,0.004007154,0.00003430953,0.04466209,0.3175295,0.2097715,0.000285012,0.003961565,0.2350382],"study_design_scores_gemma":[0.00182049,0.0001576957,0.004119479,0.00001279093,0.00005337442,0.000001546038,0.0001142148,0.9743129,0.01866023,0.00000343435,0.000518042,0.0002258251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02379106,0.00006320034,0.97026,0.000007615577,0.0009291136,0.001157048,0.0008674339,0.0005880473,0.00233647],"genre_scores_gemma":[0.8993206,0.000001989563,0.1003088,0.00003482358,0.00001771652,0.000080276,0.0001784022,0.00004219189,0.000015214],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8755295,"threshold_uncertainty_score":0.9994667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05961483452691727,"score_gpt":0.2410694427594813,"score_spread":0.181454608232564,"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."}}