{"id":"W2171127359","doi":"10.1111/j.1365-2478.2005.00503.x","title":"Minimum weighted norm wavefield reconstruction for AVA imaging","year":2005,"lang":"en","type":"article","venue":"Geophysical Prospecting","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Prestack; Amplitude; Wave equation; Geology; Inversion (geology); Interpolation (computer graphics); Inverse problem; Synthetic data; Norm (philosophy); Geophysical imaging; Seismology; Geodesy; Mathematical analysis; Algorithm; Mathematics; Optics; Computer science; Physics; Image (mathematics); Computer vision","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":[0.0001692486,0.0001205329,0.0001406367,0.0000581559,0.0003031135,0.0000692591,0.0001178391,0.00003878714,0.0003186393],"category_scores_gemma":[0.00005488861,0.0001061366,0.00008994718,0.0001282144,0.00006050325,0.000358298,0.00001019549,0.0001716771,0.0001879246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001164708,"about_ca_system_score_gemma":0.00001837971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008178459,"about_ca_topic_score_gemma":0.00002335993,"domain_scores_codex":[0.9990559,0.00001506114,0.0001927265,0.0002895544,0.0001286493,0.0003180842],"domain_scores_gemma":[0.9995283,0.0001332314,0.00008282491,0.000131803,0.00005461977,0.00006922994],"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":[0.00002283979,0.00001436789,0.02195876,0.00001240543,0.000006517188,9.986254e-7,0.0001323429,0.00001239997,0.0004654446,0.00017832,0.004072678,0.9731229],"study_design_scores_gemma":[0.0006598926,0.0001474258,0.01195874,0.00007076477,0.00002845202,0.00006855078,0.0004334962,0.8964822,0.03409254,0.02526199,0.030308,0.0004879513],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448922,0.0001666262,0.006340967,0.005264647,0.0009395552,0.0005150778,0.00002506932,0.0007121951,0.04114367],"genre_scores_gemma":[0.9789329,0.000005006098,0.01831714,0.001107502,0.0009856228,0.000003442718,0.00002247528,0.000005463406,0.0006204892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.972635,"threshold_uncertainty_score":0.4328125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008721369768491673,"score_gpt":0.2128031109850397,"score_spread":0.204081741216548,"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."}}