{"id":"W2334257424","doi":"10.1093/gji/ggw124","title":"Imaging anisotropic layering with Bayesian inversion of multiple data types","year":2016,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Anisotropy; Seismic anisotropy; Lithosphere; Layering; Azimuth; Seismogram; Geophysics; Seismology; Mantle (geology); Tectonics; Geometry; Physics; Mathematics; Optics","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":[0.001821358,0.0007512498,0.000567729,0.001270223,0.0004016227,0.001020354,0.001083618,0.0006440203,0.0006748388],"category_scores_gemma":[0.005002405,0.0008253154,0.0009765923,0.001228959,0.0006272795,0.001367313,0.001667143,0.0009270351,0.0002634753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000582302,"about_ca_system_score_gemma":0.001749451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030585,"about_ca_topic_score_gemma":0.01240456,"domain_scores_codex":[0.9994302,0.0001706439,0.00004177284,0.0000986363,0.0001880683,0.00007047336],"domain_scores_gemma":[0.9985098,0.0007057535,0.0002669361,0.0002112789,0.00024758,0.0000585398],"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":[0.0002371335,0.0001019664,0.01067708,0.0001027793,0.0001608127,0.0001533706,0.0002682611,0.7720812,0.0283451,0.02353812,0.00061467,0.1637195],"study_design_scores_gemma":[0.000008511923,0.000008496175,0.000741415,0.000003619427,0.000007739221,0.00002094803,0.000008511599,0.99374,0.001552403,0.003670699,0.0002236358,0.00001401691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04588169,0.00007518054,0.9530397,0.0000673709,0.000005618181,0.00002630201,0.0001083373,0.0002888819,0.0005068464],"genre_scores_gemma":[0.3381948,0.0001625703,0.6597548,0.00004860774,0.00002250356,0.0001038676,0.0006905942,0.000117957,0.0009042686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01030585,"threshold_uncertainty_score":0.02049172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404678852208861,"score_gpt":0.2234821517152072,"score_spread":0.2094353631931186,"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."}}