{"id":"W2316431496","doi":"10.1190/1.3627702","title":"Full waveform inversion using wave‐equation depth migration with tying to wells","year":2011,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Inversion (geology); Residual; Wave equation; Computer science; Geology; Wavelet; Tying; Waveform; Algorithm; Mathematics; Telecommunications; Mathematical analysis; Seismology; Artificial intelligence","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":[0.0004123091,0.00053854,0.0002842693,0.0004970064,0.0002794898,0.0009329737,0.001040531,0.0008248586,0.001792406],"category_scores_gemma":[0.002465235,0.0004318993,0.0005512893,0.0007406513,0.0004879029,0.001783671,0.001214386,0.001042701,0.0003984749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599248,"about_ca_system_score_gemma":0.001027219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01204549,"about_ca_topic_score_gemma":0.009411434,"domain_scores_codex":[0.9998792,0.0000200209,0.00001044879,0.00002812059,0.00004402236,0.00001810543],"domain_scores_gemma":[0.9997355,0.00007187273,0.00004124368,0.00007605331,0.00005677891,0.00001857523],"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":[0.0000433436,0.00004108714,0.002718332,0.00004544364,0.00002798684,0.0001147175,0.0001311683,0.8879421,0.01840062,0.02420486,0.0007753266,0.06555498],"study_design_scores_gemma":[0.000004894224,0.000008305159,0.000262401,0.000003907691,0.000002404011,0.00001290778,0.00001112913,0.9945509,0.001442187,0.003007873,0.0006842422,0.000008855098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06144624,0.00006067941,0.9331765,0.0002263881,0.00006526659,0.00004247266,0.0002071215,0.0009778684,0.003797423],"genre_scores_gemma":[0.5387371,0.0001368681,0.4567538,0.0001105355,0.00003265692,0.00008140871,0.0005038863,0.0002987025,0.00334507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01204549,"threshold_uncertainty_score":0.0239507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201479715654639,"score_gpt":0.2168523309141622,"score_spread":0.1448375337576158,"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."}}