{"id":"W2321304643","doi":"10.1190/segam2012-1460.1","title":"Compressive Seismic Imaging","year":2012,"lang":"en","type":"article","venue":"","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Geology; Geophysical imaging; Compressed sensing; Seismology; Computer science; Artificial intelligence","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":[0.00002621392,0.0000757719,0.00006716872,0.00003596988,0.0000238406,0.00001444393,0.0000640276,0.00001835062,0.00008253463],"category_scores_gemma":[0.000002238837,0.00006940881,0.00002458751,0.00004331806,0.00001361974,0.0001458958,0.00002269343,0.00006514704,0.0001061232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448788,"about_ca_system_score_gemma":0.000001307474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001107522,"about_ca_topic_score_gemma":2.645762e-7,"domain_scores_codex":[0.9996223,0.000006066326,0.00006538026,0.00004634952,0.00005157463,0.0002082954],"domain_scores_gemma":[0.999778,0.00001446337,0.000007027817,0.0001355562,0.00001267273,0.00005232299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006637452,0.00009147877,0.03007321,0.00003340444,0.0001212392,0.00002670317,0.001135406,0.01798538,0.1808688,0.009635838,0.6418058,0.1182161],"study_design_scores_gemma":[0.0001663028,0.000004969385,0.005885545,0.00004352629,0.00001802233,0.0000667024,0.0001173588,0.3921482,0.4582068,0.001114162,0.1417986,0.0004297558],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2543302,0.002713946,0.3078604,0.0001060159,0.0009597358,0.0001466674,0.000002104761,0.005426471,0.4284545],"genre_scores_gemma":[0.9962455,0.00001586006,0.003243895,0.0002108249,0.0001366491,0.000003488045,0.000001587107,0.00001887117,0.000123304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7419153,"threshold_uncertainty_score":0.2830409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00971747999577515,"score_gpt":0.2132863436356603,"score_spread":0.2035688636398852,"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."}}