{"id":"W2141073931","doi":"10.1109/epec.2010.5697209","title":"Real-time implementation of discrete wavelet transform for transient type protection applications","year":2010,"lang":"en","type":"article","venue":"","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Discrete wavelet transform; Wavelet transform; Computer science; Transient (computer programming); Wavelet; Second-generation wavelet transform; MATLAB; Lifting scheme; Wavelet packet decomposition; Harmonic wavelet transform; Stationary wavelet transform; Electronic engineering; Artificial intelligence; 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":[0.0001189054,0.00008156861,0.00009886811,0.00007199095,0.00003738436,0.000008612998,0.00004967199,0.00006536171,0.00009542165],"category_scores_gemma":[0.000001911048,0.00007866556,0.00004835783,0.0001527381,0.00001010655,0.0001077676,0.000001405265,0.00006545815,0.00001575439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003134268,"about_ca_system_score_gemma":0.00001255371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001690308,"about_ca_topic_score_gemma":0.0004707567,"domain_scores_codex":[0.9994524,0.000004883446,0.0002355499,0.0001029029,0.00008254658,0.0001217063],"domain_scores_gemma":[0.9997287,0.00001091876,0.00002695173,0.0001389666,0.00006151598,0.00003292125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001041035,0.00000646278,0.000002649702,0.0001069577,0.00002080364,1.780294e-8,0.0002173895,0.00005874672,0.9143471,0.0002485102,0.0001645678,0.08481637],"study_design_scores_gemma":[0.0005814239,0.0001596678,0.0005321405,0.000006950505,0.0000320911,0.000006235132,0.0001739252,0.0244618,0.8974579,0.0002182175,0.07619637,0.0001733157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1185522,0.000003605078,0.8713175,0.00007716164,0.0004158944,0.002898568,0.00006367654,0.0003996339,0.00627176],"genre_scores_gemma":[0.9956637,0.000005306065,0.003207255,0.000001390474,0.00007310208,0.0008129233,0.00003891641,0.0000250738,0.0001723343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8771115,"threshold_uncertainty_score":0.3207888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007454771505122969,"score_gpt":0.2632189619016869,"score_spread":0.255764190396564,"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."}}