{"id":"W2305344843","doi":"","title":"Empirical Mode Decomposition and Robust Seismic Attribute Analysis","year":2011,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hilbert–Huang transform; Instantaneous phase; Time–frequency analysis; Mode (computer interface); Hilbert transform; Hilbert spectral analysis; Decomposition; SIGNAL (programming language); Signal processing; Geology; Seismic inversion; Seismology; Algorithm; Computer science; Mathematics; Statistics; Spectral density; Computer vision; Geometry; White noise; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006044403,0.0001049158,0.0001584949,0.0001746239,0.00002495518,0.00001662973,0.00007061755,0.00006444102,0.0002017801],"category_scores_gemma":[0.000004783627,0.00009722601,0.00005878448,0.0002673957,0.0000139239,0.000101546,0.00002739788,0.00008209771,0.00001358368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002884186,"about_ca_system_score_gemma":0.000001930134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002103344,"about_ca_topic_score_gemma":0.0001154648,"domain_scores_codex":[0.9995159,0.00001441832,0.0001343115,0.0001345084,0.00006502143,0.0001358437],"domain_scores_gemma":[0.9997218,0.00002447834,0.00001068758,0.0001592207,0.00001647098,0.00006730856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001316519,0.0001943923,0.7872088,0.00007693546,0.001211219,0.00002592591,0.0009536756,0.1603683,0.001636809,0.0005518644,0.0419233,0.005835611],"study_design_scores_gemma":[0.00008036444,0.00002120161,0.1099915,0.000004162248,0.0001961935,0.000004192179,0.00000760911,0.8755566,0.01335409,0.0003071553,0.0003080763,0.0001689148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5561083,0.00004330821,0.4372128,0.00004519619,0.00001615182,0.00006378709,0.00001082205,0.0007504931,0.005749089],"genre_scores_gemma":[0.9689921,0.00006226466,0.03072502,0.0001190184,0.0000138216,0.00002116082,0.0000253962,0.00001410982,0.00002706829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7151882,"threshold_uncertainty_score":0.3964761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396478883021275,"score_gpt":0.3502909016988762,"score_spread":0.3163261128686635,"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."}}