{"id":"W2557536600","doi":"10.1190/tle35121053.1","title":"Rapid 4D FWI using a local wave solver","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador","keywords":"Solver; Inversion (geology); Computation; Waveform; Computer science; Algorithm; Time domain; Wave equation; Frequency domain; Applied mathematics; Mathematical optimization; Mathematical analysis; Mathematics; Geology; Seismology; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005472805,0.0008953908,0.0006624073,0.0004358611,0.0004292176,0.001099886,0.001480187,0.001283845,0.01179708],"category_scores_gemma":[0.001481729,0.0004379809,0.0006008252,0.000461649,0.0005421793,0.001001921,0.001847991,0.001188787,0.002683609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437306,"about_ca_system_score_gemma":0.001256407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004758681,"about_ca_topic_score_gemma":0.00702778,"domain_scores_codex":[0.9998148,0.00003084017,0.000009427059,0.00002833008,0.00008693617,0.00002971488],"domain_scores_gemma":[0.9994811,0.0002421626,0.00004001744,0.00006139024,0.0001385977,0.00003677095],"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":[0.0001248616,0.0001171347,0.001580228,0.0002123636,0.0000546766,0.0003215395,0.0002768063,0.8170616,0.02467474,0.03425169,0.008552052,0.1127723],"study_design_scores_gemma":[0.00001968861,0.00001514688,0.00005595482,0.000006588686,0.000003601712,0.00002746792,0.00002362068,0.9929451,0.001583956,0.0021762,0.00313609,0.000006563313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01257706,0.00007717643,0.9750028,0.0001961299,0.00006048078,0.00009215939,0.0002055645,0.001479661,0.01030888],"genre_scores_gemma":[0.1507504,0.0001453496,0.8320752,0.0002275762,0.00005152684,0.0004301113,0.0006433253,0.0009318013,0.01474463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01179708,"threshold_uncertainty_score":0.03946513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04970010890201178,"score_gpt":0.2362439433552032,"score_spread":0.1865438344531914,"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."}}