{"id":"W7105140062","doi":"10.1109/tgrs.2025.3631856","title":"Structurally Consistent Elastic Frequency- Controllable Envelope Inversion for P- and S-Wave Velocity Model Building","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Geoscience and Remote Sensing","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":"National Natural Science Foundation of China","keywords":"Inversion (geology); Model building; Wavenumber; Waveform; Envelope (radar); Inverse problem; Coupling (piping); Group velocity","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":[0.000460253,0.0007851514,0.0003819178,0.0004992497,0.0002496732,0.0007151695,0.0009745308,0.0007482942,0.001670091],"category_scores_gemma":[0.001928984,0.0004362462,0.0006078783,0.00046129,0.0004683567,0.001337967,0.001247652,0.001323249,0.0006514591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115833,"about_ca_system_score_gemma":0.0009685797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721011,"about_ca_topic_score_gemma":0.003838091,"domain_scores_codex":[0.9997531,0.00004187015,0.00001738613,0.00005293539,0.0001033883,0.00003142276],"domain_scores_gemma":[0.999658,0.0001212663,0.0000450453,0.00008089795,0.00007776371,0.00001693284],"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":[0.0000721218,0.00008055627,0.002092016,0.0001202447,0.000050644,0.0001566736,0.0001390423,0.7788848,0.04494866,0.01455643,0.001912254,0.1569866],"study_design_scores_gemma":[0.000004841065,0.000008846263,0.0001295177,0.000004152971,0.000003112963,0.00001904634,0.00001291813,0.9935094,0.003372494,0.002171381,0.0007574412,0.000006893565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009578081,0.00004382443,0.9887431,0.00005523431,0.00001385993,0.0000169675,0.00006855115,0.0003594726,0.001120865],"genre_scores_gemma":[0.4015574,0.0001690596,0.5949896,0.0001362417,0.0000305889,0.0001248063,0.000998718,0.0003129499,0.001680612],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002721011,"threshold_uncertainty_score":0.005587041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995198073818938,"score_gpt":0.2321081053289844,"score_spread":0.212156124590795,"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."}}