{"id":"W1552858409","doi":"10.1111/1365-2478.12088","title":"Spectral decomposition and de‐noising via time‐frequency and space‐wavenumber reassignment","year":2013,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Deconvolution; Thresholding; Energy (signal processing); Computer science; Seismic trace; Frequency domain; Noise (video); Algorithm; Seismic migration; Time domain; Time–frequency analysis; Passive seismic; Geology; Mathematics; Seismology; Artificial intelligence; Telecommunications; Statistics; Computer vision; Image (mathematics)","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":[0.0004384406,0.0007935234,0.0003687638,0.0008580859,0.0002519522,0.0006382455,0.0005801392,0.0005716695,0.002149488],"category_scores_gemma":[0.001251298,0.0002485562,0.0006161042,0.0006942585,0.000678007,0.0009664582,0.0006889599,0.0006685096,0.0008525337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600783,"about_ca_system_score_gemma":0.0003899221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188285,"about_ca_topic_score_gemma":0.001379223,"domain_scores_codex":[0.9997056,0.00003889252,0.0000211414,0.00006186639,0.0001435236,0.00002901055],"domain_scores_gemma":[0.9996021,0.00008087677,0.00007616459,0.0001089786,0.0001129901,0.00001891018],"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":[0.0003534562,0.0001042737,0.0006842363,0.0002031557,0.00004949596,0.0002635568,0.0002495997,0.07860149,0.3055979,0.02279747,0.001172738,0.5899227],"study_design_scores_gemma":[0.00002738151,0.0001410316,0.001682648,0.00002599768,0.00004412951,0.0005144552,0.000111918,0.701338,0.2764583,0.006943854,0.01264863,0.00006373136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02139662,0.0001253595,0.97673,0.00005540677,0.00004769644,0.00003089129,0.00002587627,0.0003442193,0.001243927],"genre_scores_gemma":[0.1665444,0.0002621626,0.8287122,0.00003842968,0.00003145703,0.00005612236,0.0001638973,0.0001387433,0.004052567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002149488,"threshold_uncertainty_score":0.007190764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004699372135718793,"score_gpt":0.2019096832211741,"score_spread":0.1972103110854553,"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."}}