{"id":"W2940893963","doi":"10.1190/geo2018-0410.1","title":"Parameter crosstalk and modeling errors in viscoacoustic seismic full-waveform inversion","year":2019,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Attenuation; Inversion (geology); Waveform; Frequency band; Computer science; Earth model; Acoustics; Seismic wave; Algorithm; Geology; Physics; Optics; Seismology; Telecommunications; Bandwidth (computing)","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":[0.003392697,0.0005512483,0.000312586,0.0007400902,0.0003651317,0.001003322,0.0006201282,0.0005724514,0.0007595497],"category_scores_gemma":[0.01701596,0.0003869654,0.000268923,0.0007991815,0.0008002956,0.001584008,0.001217072,0.0007572536,0.0001641088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004536076,"about_ca_system_score_gemma":0.0007311706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511746,"about_ca_topic_score_gemma":0.002564124,"domain_scores_codex":[0.9989811,0.0004129874,0.00007489159,0.0001197883,0.0003123866,0.00009887671],"domain_scores_gemma":[0.9928533,0.005588857,0.0004842623,0.0005702196,0.0004113947,0.00009183792],"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":[0.0003409793,0.00009627573,0.01111044,0.00008112921,0.00005991994,0.0002894193,0.0002637992,0.8927596,0.03109265,0.008549755,0.0003086636,0.05504735],"study_design_scores_gemma":[0.000007441163,0.00004690221,0.001283637,0.00001164875,0.00001212441,0.00006525323,0.00003250966,0.9839199,0.01276123,0.001642102,0.0002038505,0.00001339467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3775936,0.0001215851,0.6188992,0.0002504107,0.00002556565,0.00003068316,0.00007801957,0.0007379932,0.002262982],"genre_scores_gemma":[0.9405994,0.00005853506,0.05866713,0.00004489336,0.00000807564,0.00001589179,0.00008576685,0.00009803507,0.0004222756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003392697,"threshold_uncertainty_score":0.01794249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368067912068966,"score_gpt":0.2121538670188839,"score_spread":0.1984731878981943,"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."}}