{"id":"W4225768030","doi":"10.26464/epp2022024","title":"Seismic attenuation compensation with spectral-shaping regularization","year":2022,"lang":"en","type":"article","venue":"Earth and Planetary Physics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Attenuation; Anelastic attenuation factor; Seismic wave; Dispersive body waves; Acoustics; Inversion (geology); Energy (signal processing); Seismic inversion; Amplitude; Regularization (linguistics); Computer science; Low frequency; Geology; Seismology; Physics; Optics; 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":[0.000551174,0.0006206935,0.0002984022,0.00041031,0.0002405534,0.0003034649,0.0004688527,0.0006538651,0.0006656836],"category_scores_gemma":[0.001214171,0.0002051158,0.0004477706,0.0004368334,0.0005223064,0.0005678537,0.0006556854,0.0006911287,0.0002329999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349729,"about_ca_system_score_gemma":0.0006754143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675959,"about_ca_topic_score_gemma":0.002370009,"domain_scores_codex":[0.9997405,0.00005267056,0.00001862586,0.00005314525,0.0001094621,0.00002558307],"domain_scores_gemma":[0.999643,0.00009599197,0.00006270764,0.0000804878,0.0000998446,0.00001798469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002963741,0.0001514179,0.002241578,0.0001363624,0.00007523424,0.000193393,0.0003315063,0.3012126,0.4412935,0.02059665,0.001513529,0.2319579],"study_design_scores_gemma":[0.00001091022,0.00004570637,0.0003885194,0.000004525893,0.00001073888,0.00005527903,0.00001332669,0.9638456,0.03220475,0.001979258,0.001423082,0.00001829888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04349186,0.00005452883,0.9551791,0.00009110705,0.00001931487,0.00002126543,0.00002195535,0.0003268946,0.0007939325],"genre_scores_gemma":[0.3993983,0.0001182944,0.5972232,0.0001059396,0.00003694391,0.00006972543,0.0001640603,0.0001267288,0.002756817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001675959,"threshold_uncertainty_score":0.003332436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704270706400154,"score_gpt":0.1867963886099192,"score_spread":0.1697536815459176,"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."}}