{"id":"W2121488169","doi":"10.1190/1.1444980","title":"Velocity analysis for tilted transversely isotropic media: A physical modeling example","year":2001,"lang":"en","type":"article","venue":"Geophysics","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Transverse isotropy; Geology; Anisotropy; Geometry; Normal moveout; Isotropy; Inversion (geology); Perpendicular; Axis of symmetry; Oblique case; Geophysics; Optics; Seismology; Physics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002828125,0.0004223615,0.0002616888,0.0005771806,0.0003137992,0.000658872,0.0004925635,0.0005181513,0.0008877753],"category_scores_gemma":[0.0008932592,0.0001639586,0.0003646048,0.0006987959,0.0004286452,0.0003729015,0.0002766488,0.0004082186,0.0001016485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007688525,"about_ca_system_score_gemma":0.0008521314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08775935,"about_ca_topic_score_gemma":0.03848411,"domain_scores_codex":[0.9999214,0.00001039569,0.000004944626,0.00001519976,0.00003199057,0.00001609578],"domain_scores_gemma":[0.9997258,0.0001117861,0.0000453149,0.00003423583,0.00007204229,0.00001087068],"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":[0.00002437224,0.00003509753,0.005060103,0.00001694041,0.00000937608,0.0001208866,0.00004595813,0.9730434,0.009608415,0.005405543,0.0001619971,0.00646787],"study_design_scores_gemma":[0.000003287686,0.000004927641,0.0008810413,0.00000114699,0.000001690222,0.00001337188,0.000009016661,0.9977144,0.0007202602,0.0004978451,0.0001477244,0.000005249951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.656435,0.0001883781,0.3324513,0.0003321896,0.00002682052,0.000088666,0.0008130703,0.0005585047,0.009105947],"genre_scores_gemma":[0.9725585,0.0001201449,0.0258642,0.00001530971,0.00000860634,0.00002444632,0.0002287812,0.00002926007,0.001150713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08775935,"threshold_uncertainty_score":0.1744971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103026382323702,"score_gpt":0.23299940580928,"score_spread":0.191969141986043,"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."}}