{"id":"W2018177648","doi":"10.1190/1.3063878","title":"Bayesian ground‐roll separation by curvelet‐domain sparsity promotion","year":2008,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Curvelet; Reflector (photography); Attenuation; Geology; Computer science; Domain (mathematical analysis); Seismology; Artificial intelligence; Physics; Optics; Wavelet; Wavelet transform; 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":[0.001067995,0.0004463709,0.0005015867,0.0005362593,0.0002389642,0.0006243611,0.0005153332,0.0005937947,0.001644416],"category_scores_gemma":[0.004089043,0.0003047051,0.0003087051,0.0006958075,0.0007413611,0.001304446,0.001044225,0.001115872,0.0005778135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708469,"about_ca_system_score_gemma":0.0006784642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001205444,"about_ca_topic_score_gemma":0.001291074,"domain_scores_codex":[0.9996164,0.0001071197,0.00001666081,0.00006200061,0.0001555072,0.00004222224],"domain_scores_gemma":[0.9981142,0.0009355182,0.0002082841,0.0002921188,0.0003617528,0.0000880411],"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":[0.0004793433,0.0002123813,0.00199376,0.0001214477,0.000063945,0.0001301468,0.0001885742,0.4372439,0.06734682,0.09880283,0.005627155,0.3877896],"study_design_scores_gemma":[0.00001640249,0.00003721728,0.0003353838,0.000005419104,0.000005575177,0.00003841176,0.0000101405,0.9795223,0.007094495,0.01149356,0.001430958,0.00001014614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01942462,0.00007167152,0.978883,0.0001488825,0.00001498205,0.00001461903,0.00005078619,0.000111692,0.00127982],"genre_scores_gemma":[0.4319811,0.0003764362,0.5616469,0.0001300233,0.0001466412,0.00008467933,0.0006296667,0.0001238946,0.004880637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001644416,"threshold_uncertainty_score":0.005648196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934105489867947,"score_gpt":0.2241190371650875,"score_spread":0.204777982266408,"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."}}