{"id":"W4400621065","doi":"10.1190/geo2024-0098.1","title":"Robust unsupervised 5D seismic data reconstruction on regular and irregular grids","year":2024,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Energy","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grid; Computer science; Geology; Seismology; Regular grid; Data mining; Pattern recognition (psychology); Artificial intelligence; Geodesy","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":[0.0002011567,0.0001274986,0.0001165202,0.00007924288,0.0001290418,0.0001409285,0.0002338449,0.0000566767,0.0001928003],"category_scores_gemma":[0.00001140651,0.0001086296,0.00002947462,0.0002039653,0.0001139135,0.000460109,0.00003151138,0.000175219,0.0002659496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004658481,"about_ca_system_score_gemma":0.00003937018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001094039,"about_ca_topic_score_gemma":0.000005291254,"domain_scores_codex":[0.9990677,0.0000404814,0.0001190991,0.0004172874,0.0001693015,0.0001861226],"domain_scores_gemma":[0.9993746,0.00005769538,0.0000212691,0.0004636239,0.00001701467,0.00006584961],"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":[0.00001123601,0.000006004585,0.001167288,0.00004929224,0.00002007354,0.00001606084,0.00007309177,0.0003237484,0.00006530962,0.0002453566,0.03266707,0.9653555],"study_design_scores_gemma":[0.0001287003,0.0001094641,0.004606167,0.0001636384,0.0000363442,0.00007351864,0.000145959,0.8737555,0.0008222083,0.01329431,0.1066114,0.0002528969],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810964,0.002202668,0.00318798,0.002986204,0.002049007,0.0002389467,0.000430879,0.0008028318,0.007005009],"genre_scores_gemma":[0.9927962,0.0004627845,0.002977016,0.001606295,0.0004710574,8.644431e-7,0.0007267493,0.00001039115,0.00094858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9651026,"threshold_uncertainty_score":0.4429787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419350857766382,"score_gpt":0.2136135389100923,"score_spread":0.1694200303324285,"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."}}