{"id":"W2045148033","doi":"10.1109/pesgm.2014.6939007","title":"Identification of critical components for voltage stability assessment using channel components transform","year":2014,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Phasor; Computer science; Identification (biology); Electric power system; Voltage; Channel (broadcasting); Stability (learning theory); Power (physics); Electronic engineering; Engineering; Electrical engineering; Telecommunications","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":[0.0002783086,0.0007106792,0.0005583421,0.0008803785,0.0003988164,0.0007803671,0.0002629666,0.0003443126,0.008149431],"category_scores_gemma":[0.001968076,0.0001644962,0.0002275336,0.0009662612,0.0004203107,0.0004293268,0.0003448353,0.0004725496,0.00103034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591173,"about_ca_system_score_gemma":0.0009688465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278407,"about_ca_topic_score_gemma":0.004124076,"domain_scores_codex":[0.9998292,0.00004096869,0.000007984048,0.00002844405,0.00008049742,0.00001293021],"domain_scores_gemma":[0.999324,0.0004072948,0.00008317039,0.0000336198,0.0001260157,0.00002599414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002832322,0.00008705729,0.003009105,0.000404794,0.00004065545,0.0002774189,0.0001168315,0.3305148,0.0580239,0.02364946,0.007543232,0.5760495],"study_design_scores_gemma":[0.00001035772,0.00007016738,0.001076598,0.00002300898,0.00001707585,0.00007632928,0.00002795008,0.9855877,0.00643277,0.004108936,0.002556933,0.00001222605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0202554,0.0002040379,0.9766685,0.00005276837,0.00004247759,0.00008017674,0.00009439024,0.0003951438,0.002207087],"genre_scores_gemma":[0.6100643,0.0007334239,0.3851404,0.00003458568,0.0001036633,0.0002541372,0.0004411023,0.0001442497,0.003084267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008149431,"threshold_uncertainty_score":0.02726263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473523446348533,"score_gpt":0.2984532001401578,"score_spread":0.2537179656766725,"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."}}