{"id":"W2166873217","doi":"10.1109/ssap.1994.572492","title":"Optimum Wavelet Design for Transient Detection","year":2005,"lang":"en","type":"article","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transient (computer programming); Wavelet; Computer science; Transient analysis; Transient response; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001214044,0.0008074779,0.0009936085,0.0004826613,0.0002661171,0.0008540298,0.0006922741,0.001357271,0.002198421],"category_scores_gemma":[0.004335965,0.0007684372,0.0006521595,0.000457566,0.0005472528,0.001155706,0.0007993619,0.001093984,0.0009734766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863379,"about_ca_system_score_gemma":0.0005102248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003850064,"about_ca_topic_score_gemma":0.000535255,"domain_scores_codex":[0.9994184,0.0002061695,0.00003561164,0.0001194403,0.0001698437,0.00005046396],"domain_scores_gemma":[0.9986247,0.0007554605,0.0001337891,0.0001297961,0.0003114166,0.00004486898],"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":[0.001158353,0.0001697525,0.0007690083,0.0004925562,0.0001262378,0.0001285929,0.0002321142,0.3160056,0.1418585,0.06857363,0.003638073,0.4668475],"study_design_scores_gemma":[0.00003453489,0.00009300983,0.0001739014,0.00001845423,0.00002872194,0.0000569673,0.00001120924,0.9761163,0.01122501,0.0110019,0.001224828,0.00001500513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001775219,0.00004402827,0.9979387,0.00001846661,0.000005919899,0.000004611904,0.000005730769,0.00003200642,0.0001753469],"genre_scores_gemma":[0.2001275,0.0004168786,0.7964687,0.00007196469,0.00005760882,0.0001435946,0.0001136011,0.0001439988,0.002456043],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002198421,"threshold_uncertainty_score":0.007354498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.041935091475984,"score_gpt":0.2873555848618733,"score_spread":0.2454204933858893,"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."}}