{"id":"W2004444798","doi":"10.4043/14077-ms","title":"Reducing Spatial Aliasing in Wave-Equation Multiple Attenuation","year":2002,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple; Deconvolution; Aliasing; Attenuation; Extrapolation; Algorithm; Wave equation; Computer science; Seismic migration; Reflection (computer programming); Time domain; Frequency domain; Filter (signal processing); Geology; Mathematical analysis; Mathematics; Physics; Seismology; Optics; Arithmetic; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006098746,0.0006649392,0.0005249407,0.0007528579,0.0003404785,0.0006389722,0.0005579239,0.0005476119,0.001991825],"category_scores_gemma":[0.002188958,0.0003659844,0.0006636034,0.0008574226,0.00041131,0.00110737,0.0008988831,0.0007533597,0.000734054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003759255,"about_ca_system_score_gemma":0.0007724421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004913687,"about_ca_topic_score_gemma":0.006181283,"domain_scores_codex":[0.9995316,0.00005997346,0.00002700124,0.00007128453,0.0002536958,0.00005635952],"domain_scores_gemma":[0.9987475,0.0005348219,0.0001447774,0.0002170034,0.0003272381,0.0000285854],"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":[0.0008372512,0.0003114572,0.0124174,0.000264658,0.0002094945,0.0004526118,0.0004702052,0.1354328,0.2488474,0.00530142,0.001643384,0.5938119],"study_design_scores_gemma":[0.00002214205,0.0001543145,0.006683717,0.00002060464,0.000064636,0.0002893624,0.00009588387,0.8405015,0.1472148,0.001398193,0.003519065,0.00003578155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2070689,0.0003165703,0.7900383,0.0001020088,0.00003521563,0.00002821851,0.00008384031,0.001092999,0.00123394],"genre_scores_gemma":[0.5755388,0.0003428572,0.4194503,0.00006369004,0.00002620713,0.00003464922,0.0005430529,0.0003188514,0.00368149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004913687,"threshold_uncertainty_score":0.009770155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982747211875792,"score_gpt":0.2242565531742964,"score_spread":0.1744290810555385,"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."}}