{"id":"W4281750232","doi":"10.1093/gji/ggac208","title":"Seismic imaging of crystalline structures: improving energy focusing and signal alignment with azimuthal binning and 2.5-D full-waveform inversion","year":2022,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Bin; Azimuth; Geology; Amplitude; Perpendicular; Energy (signal processing); Reflection (computer programming); Inversion (geology); Seismology; Scattering; Traverse; Stacking; Geometry; Geodesy; Optics; Algorithm; Computer science; Physics; Mathematics; Tectonics","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":[0.0003456642,0.0005363114,0.0003012964,0.0006075508,0.00012328,0.0006909318,0.0005622161,0.0003208148,0.001601821],"category_scores_gemma":[0.0008781977,0.0002664116,0.0002154258,0.0007752174,0.0002052819,0.0006326275,0.0006470442,0.0004148742,0.0004588618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997924,"about_ca_system_score_gemma":0.0009257517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002751144,"about_ca_topic_score_gemma":0.005519491,"domain_scores_codex":[0.9998604,0.00001988513,0.000009154794,0.00002061654,0.00006550262,0.00002434438],"domain_scores_gemma":[0.9997714,0.00006052837,0.00003200127,0.00003747555,0.00007614364,0.0000223781],"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":[0.0003950743,0.0002507323,0.005556101,0.0001580277,0.00007719913,0.000149318,0.0002160804,0.3133647,0.3245524,0.00403796,0.002248097,0.3489944],"study_design_scores_gemma":[0.00001955732,0.00004936546,0.001959068,0.000006321437,0.00001062789,0.00004808629,0.00003755286,0.9538403,0.04208355,0.000761162,0.001168721,0.00001574591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1888637,0.0001199286,0.806137,0.0001209603,0.00002161864,0.0000357453,0.0001797336,0.002326091,0.002195222],"genre_scores_gemma":[0.4691586,0.0001087154,0.5288591,0.00005521945,0.00001020707,0.00003477907,0.0006155181,0.0002911925,0.0008665239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002751144,"threshold_uncertainty_score":0.005470335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00590366814628118,"score_gpt":0.1903069064060979,"score_spread":0.1844032382598167,"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."}}