{"id":"W2097935747","doi":"10.1190/1.3484195","title":"Seismic data interpolation by greedy local Radon transform","year":2010,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"ATCO (Canada)","funders":"","keywords":"Algorithm; Radon transform; Interpolation (computer graphics); Radon; Computer science; Inversion (geology); Mathematics; Mathematical optimization; Image (mathematics); Artificial intelligence; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480207,0.00009693197,0.00008959376,0.00002990179,0.00009619503,0.00004211719,0.0004177224,0.00005863645,0.0005031382],"category_scores_gemma":[0.000006845034,0.00008454962,0.0000270408,0.0001062718,0.0001077923,0.0004817321,0.00001689408,0.0002601955,0.0003669159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001584008,"about_ca_system_score_gemma":0.0000259493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008863225,"about_ca_topic_score_gemma":0.0001456489,"domain_scores_codex":[0.999307,0.0000147669,0.0001151604,0.0002253041,0.0001543329,0.0001833874],"domain_scores_gemma":[0.9994555,0.0000323069,0.00003682515,0.0003928532,0.00001826453,0.00006431753],"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":[0.00001262493,0.00001436526,0.003717157,0.000007351724,0.00000629631,0.000001022824,0.0001150581,0.00001600902,0.0006432211,0.00003038182,0.1076658,0.8877708],"study_design_scores_gemma":[0.0001467333,0.00005586329,0.003089559,0.000007394523,0.0000114161,0.000007358442,0.0001039258,0.7846282,0.00236123,0.004143205,0.2052784,0.0001667435],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8137639,0.0001491912,0.1576679,0.003554968,0.001889655,0.0003129043,0.000968396,0.0005524657,0.02114067],"genre_scores_gemma":[0.9956905,0.00001926372,0.001042164,0.001335181,0.0001301357,3.076775e-7,0.001460257,0.00000373665,0.0003185122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.887604,"threshold_uncertainty_score":0.9977368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164091909208215,"score_gpt":0.215317004051931,"score_spread":0.2036760849598489,"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."}}