{"id":"W4293090459","doi":"10.3997/2214-4609.202112723","title":"Deep-LSRTM: least-squares reverse time migration via learned projection operators","year":2021,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Least-squares function approximation; Seismic migration; Projection (relational algebra); Artificial intelligence; Algorithm; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006701669,0.0007916688,0.0005212133,0.000310902,0.0002357781,0.0005296132,0.001152758,0.0008946429,0.002517819],"category_scores_gemma":[0.001826086,0.0003337096,0.0005068262,0.0004007488,0.0006659482,0.0009593519,0.001105465,0.001848781,0.0008505933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370596,"about_ca_system_score_gemma":0.001116186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004601709,"about_ca_topic_score_gemma":0.005407164,"domain_scores_codex":[0.9997483,0.00006687673,0.00001286175,0.00005360143,0.00009241723,0.0000259363],"domain_scores_gemma":[0.9995325,0.000169819,0.00005695445,0.00009190243,0.000116141,0.00003276007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001034569,0.00005492838,0.0007418409,0.00006628364,0.00005279736,0.00007460683,0.00007469198,0.7979247,0.01092485,0.01541952,0.003823875,0.1707384],"study_design_scores_gemma":[0.000002682768,0.000004471913,0.000022592,0.000001431998,8.398175e-7,0.000005036138,0.000001820385,0.9969972,0.0009974759,0.001686248,0.0002780999,0.000002027616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00758377,0.00006427992,0.9901314,0.0001243001,0.00002657679,0.00001585563,0.00004160433,0.001399486,0.0006127466],"genre_scores_gemma":[0.2697526,0.0001038755,0.7259543,0.0001385635,0.00003600272,0.0001044562,0.0002730214,0.0003691181,0.003267947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004601709,"threshold_uncertainty_score":0.009149849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272727166851985,"score_gpt":0.2171045151597258,"score_spread":0.2043772434912059,"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."}}