{"id":"W2151493829","doi":"10.1109/icassp.2012.6288761","title":"Effect of initial phase in two tone separation using empirical mode decomposition","year":2012,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Hilbert–Huang transform; Separation (statistics); Tone (literature); Decomposition; Phase (matter); Mode (computer interface); Nonlinear system; Amplitude; Computer science; Algorithm; Signal processing; SIGNAL (programming language); Control theory (sociology); Mathematics; Artificial intelligence; Telecommunications; Physics; Machine learning","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":[0.001331137,0.0005857071,0.0004174151,0.0003397307,0.0002033554,0.0005975164,0.0003164852,0.0005814764,0.000582665],"category_scores_gemma":[0.006661834,0.0001865536,0.0001932073,0.0002401535,0.0005308449,0.0009899971,0.0008041917,0.0005696499,0.0001705464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001503207,"about_ca_system_score_gemma":0.0002184486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005701013,"about_ca_topic_score_gemma":0.0003845627,"domain_scores_codex":[0.999451,0.0001915724,0.00003436549,0.00007981229,0.0001920149,0.00005126463],"domain_scores_gemma":[0.9956655,0.003514292,0.0002135434,0.0002367242,0.0002783577,0.00009166639],"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":[0.00278886,0.0002497368,0.007692595,0.0003761665,0.00008361563,0.0004578069,0.0004794741,0.3714465,0.2672995,0.003787159,0.0004317288,0.3449068],"study_design_scores_gemma":[0.00003250555,0.000436103,0.003336972,0.00002361383,0.00002800107,0.0002026177,0.0000606655,0.9184721,0.07597496,0.001018239,0.0003851799,0.00002902923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3852556,0.0006702032,0.6119189,0.0001652761,0.00004045296,0.00002930463,0.00001823681,0.000413335,0.001488633],"genre_scores_gemma":[0.9363342,0.0002119809,0.06295406,0.00002611584,0.000009659426,0.00001111877,0.00002918118,0.00003460173,0.0003889804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001331137,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681813412062052,"score_gpt":0.5597735924254048,"score_spread":0.5329554583047843,"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."}}