{"id":"W2884842199","doi":"10.1190/geo2017-0655.1","title":"Simultaneous reconstruction of seismic reflections and diffractions using a global hyperbolic Radon dictionary","year":2018,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radon transform; Inversion (geology); Fourier transform; Reflection (computer programming); Hyperbola; Algorithm; Geology; Mathematics; Computer science; Geometry; Seismology; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004629249,0.00008099856,0.0001020008,0.00004898016,0.0002780468,0.00001672875,0.000051608,0.00003864969,0.0000921701],"category_scores_gemma":[0.00002196677,0.00007809393,0.00003404359,0.0002727277,0.0002526589,0.0002018142,0.000006927419,0.00007829379,0.00002839003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001169455,"about_ca_system_score_gemma":0.00003891695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008640923,"about_ca_topic_score_gemma":0.0000598781,"domain_scores_codex":[0.99945,0.00003084313,0.0001291467,0.0001596788,0.00009851314,0.000131869],"domain_scores_gemma":[0.999632,0.00005349694,0.00007778117,0.0001159971,0.00007279432,0.00004791942],"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":[0.00007785216,0.00005783877,0.08077154,0.00002782955,0.00005459792,0.000004659561,0.0003631898,0.002215282,0.003708151,0.0001607657,0.0008292631,0.911729],"study_design_scores_gemma":[0.000393755,0.0004430106,0.06829312,0.0000873942,0.000112631,0.0008726892,0.0009375942,0.8854107,0.003776404,0.02126572,0.01800821,0.0003987318],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894396,0.00008038525,0.005214607,0.0001424939,0.0005346096,0.00006829113,0.00006718322,0.0001036155,0.004349199],"genre_scores_gemma":[0.9938649,0.00005219187,0.005502127,0.0002644599,0.0002381752,2.978444e-7,0.00001464775,0.000002333808,0.00006088357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9113303,"threshold_uncertainty_score":0.9979606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727214459906126,"score_gpt":0.255628697604123,"score_spread":0.2383565530050618,"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."}}