{"id":"W4321491429","doi":"10.5194/egusphere-egu23-2106","title":"Combined migrations and time-depth conversions: first results","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Homogeneous; Computer science; Scattering; Exploit; Algorithm; Seismic migration; Software; Domain (mathematical analysis); Ground-penetrating radar; Inverse scattering problem; Inverse problem; Image (mathematics); Inverse; Mathematical optimization; Geology; Mathematics; Optics; Geometry; Mathematical analysis; Statistical physics; Artificial intelligence; Physics; Telecommunications; Radar; Geophysics; Programming language","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":[0.001314204,0.001955494,0.001180878,0.002000584,0.0003838959,0.002016806,0.0009793432,0.001592487,0.003936574],"category_scores_gemma":[0.003812339,0.0005355761,0.001599685,0.00209838,0.001144561,0.002197661,0.002593432,0.001303513,0.001583755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228149,"about_ca_system_score_gemma":0.0003588536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001156868,"about_ca_topic_score_gemma":0.000774699,"domain_scores_codex":[0.999057,0.0002051607,0.00007455323,0.0001330298,0.0004435578,0.00008672542],"domain_scores_gemma":[0.998899,0.0003760479,0.000142446,0.0002282979,0.0002758793,0.00007831225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001140479,0.0006968137,0.003391492,0.002915944,0.0006358523,0.0006591979,0.0007792625,0.1582232,0.1263637,0.08834141,0.005842914,0.6110098],"study_design_scores_gemma":[0.00006335381,0.0005379274,0.002531242,0.0002018475,0.0003122515,0.0009824211,0.0001968222,0.8432138,0.1092111,0.02666572,0.0159399,0.0001436444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03940469,0.005815939,0.9415027,0.0002346046,0.0003070353,0.0001263015,0.000240566,0.0008458635,0.01152223],"genre_scores_gemma":[0.2651089,0.006303382,0.7140309,0.0001577245,0.0005564127,0.000278423,0.0005950446,0.0006253589,0.01234388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003936574,"threshold_uncertainty_score":0.01316911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03115468291666873,"score_gpt":0.262415625123722,"score_spread":0.2312609422070533,"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."}}