{"id":"W2108446060","doi":"10.1190/geo2012-0199.1","title":"Empirical mode decomposition for seismic time-frequency analysis","year":2013,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":205,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hilbert–Huang transform; Time–frequency analysis; Wavelet transform; Mode (computer interface); Fourier transform; Instantaneous phase; Seismology; S transform; Interpretation (philosophy); Computer science; Algorithm; Geology; Decomposition; Wavelet; Signal processing; Mathematics; Discrete wavelet transform; Artificial intelligence; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126769,0.0007925735,0.0003941893,0.001034366,0.0001938064,0.0005912768,0.0006151476,0.0005797968,0.005350265],"category_scores_gemma":[0.005433294,0.0002192684,0.0003876599,0.001179575,0.000340634,0.0007344052,0.0006449887,0.001293455,0.002509015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000225469,"about_ca_system_score_gemma":0.0004516334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361901,"about_ca_topic_score_gemma":0.001157737,"domain_scores_codex":[0.9995257,0.0001769257,0.00003017628,0.0000639767,0.0001786235,0.00002464187],"domain_scores_gemma":[0.9986095,0.0007480412,0.0001068785,0.0002024748,0.0002926077,0.00004035909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001231254,0.00009129951,0.0008959666,0.0003584579,0.00007284719,0.0002393911,0.0001454017,0.2257993,0.02959109,0.1288827,0.01103355,0.6027669],"study_design_scores_gemma":[0.000005103856,0.00001928454,0.0004464458,0.00002654887,0.000006055029,0.00005936026,0.00001537243,0.9661512,0.001846439,0.02353269,0.007878013,0.00001349801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00126602,0.0002126419,0.9977254,0.00003832074,0.00002549335,0.00001268301,0.00008526626,0.0002085197,0.0004255931],"genre_scores_gemma":[0.06846521,0.0009840283,0.9270661,0.00004876692,0.0001049304,0.0001802661,0.0005454851,0.0002477233,0.00235739],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005350265,"threshold_uncertainty_score":0.01789838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263306301836034,"score_gpt":0.2861409078051697,"score_spread":0.2735078447868094,"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."}}