{"id":"W3217073898","doi":"10.3390/en14237995","title":"Sparse Signal Reconstruction on Fixed and Adaptive Supervised Dictionary Learning for Transient Stability Assessment","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete cosine transform; Discrete wavelet transform; Singular value decomposition; Computer science; Mean squared error; Algorithm; Artificial intelligence; Stability (learning theory); Pattern recognition (psychology); Mathematics; Wavelet transform; Wavelet; Machine learning; Statistics; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007703963,0.0006031555,0.0008039657,0.0005499094,0.0002112449,0.0005549052,0.0009013562,0.0006459872,0.0013219],"category_scores_gemma":[0.002434546,0.0002652452,0.0005261051,0.0007262512,0.0004438053,0.0008545161,0.0007766677,0.0008009124,0.0006591301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045343,"about_ca_system_score_gemma":0.0007470367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002874549,"about_ca_topic_score_gemma":0.002830625,"domain_scores_codex":[0.9994982,0.0001405875,0.00003744895,0.0001140897,0.0001691299,0.00004058042],"domain_scores_gemma":[0.9988694,0.0004259828,0.000110741,0.0001497113,0.0004089754,0.00003520138],"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":[0.000221521,0.0001320349,0.00169625,0.0001704747,0.00008311791,0.00009642655,0.00009852908,0.4306546,0.01845041,0.006253597,0.002739544,0.5394034],"study_design_scores_gemma":[0.000005060337,0.0000406288,0.0001446167,0.000003944649,0.000004206083,0.00001689595,0.000007078632,0.9973686,0.001545524,0.0005042172,0.0003545865,0.00000457576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009279424,0.0001176068,0.9895685,0.00004838868,0.00001929779,0.00003275138,0.00003932906,0.0003407757,0.0005538921],"genre_scores_gemma":[0.3851122,0.0003673783,0.6109141,0.0001377003,0.00007788331,0.0002379385,0.0006108933,0.00009821075,0.002443799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002874549,"threshold_uncertainty_score":0.005715668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02177869242555449,"score_gpt":0.2222083096921677,"score_spread":0.2004296172666132,"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."}}