{"id":"W4293238676","doi":"10.3390/en15093223","title":"Multiscale Full-Waveform Inversion with Land Seismic Field Data: A Case Study from the Jizhong Depression, Middle Eastern China","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Geology; Seismology; Inversion (geology); Geothermal gradient; Seismogram; Offset (computer science); Borehole; Algorithm; Geodesy; Geophysics; Computer science; Tectonics; Geotechnical engineering","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":[0.0003185339,0.0004773196,0.0002482204,0.0007356983,0.0002780508,0.0003603349,0.0006651091,0.0005018641,0.0005400981],"category_scores_gemma":[0.0007223925,0.0002041813,0.0003639978,0.0009192085,0.0003703928,0.0003843901,0.0003315706,0.0002312702,0.00009300233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006292663,"about_ca_system_score_gemma":0.0008100726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07675283,"about_ca_topic_score_gemma":0.0895504,"domain_scores_codex":[0.9999114,0.00001421392,0.000006193141,0.00002169719,0.00002254507,0.00002390148],"domain_scores_gemma":[0.9998253,0.00005249869,0.00002427558,0.00002762484,0.00004822382,0.00002199758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005425022,0.001086906,0.2509317,0.0002571331,0.0002161903,0.01039943,0.001362013,0.565963,0.04963213,0.001930616,0.001859252,0.1158191],"study_design_scores_gemma":[0.00006325684,0.00009769197,0.1160557,0.00001350134,0.00004778986,0.0001849739,0.0006473218,0.8771061,0.004766781,0.0003723194,0.0006122577,0.00003224902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973821,0.0000214942,0.001958266,0.00004527576,0.000002406581,0.00001215738,0.0001449116,0.00005501808,0.0003783615],"genre_scores_gemma":[0.9967783,0.00002540205,0.002671627,0.000006810891,0.000002722425,0.000005066756,0.0002902388,0.000008248908,0.0002115793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07675283,"threshold_uncertainty_score":0.1526122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625174143906514,"score_gpt":0.2199638370977409,"score_spread":0.1937120956586757,"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."}}