{"id":"W4210829094","doi":"10.1093/gji/ggac060","title":"Simultaneous Bayesian inversion for effective anisotropy parameters and source locations: a physical modelling study","year":2022,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Geology; Anisotropy; Microseism; Isotropy; Markov chain Monte Carlo; Seismology; Monte Carlo method; Geophysics; Statistics; Mathematics; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002245877,0.000116581,0.0001417283,0.0001216304,0.0006150939,0.0001166436,0.0002488026,0.00001591646,0.00009818616],"category_scores_gemma":[0.00005541938,0.0001042694,0.00009536972,0.00009710103,0.00006133365,0.0002076927,0.00004549375,0.0003276665,0.00001048565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003570314,"about_ca_system_score_gemma":0.00002742901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006591151,"about_ca_topic_score_gemma":0.000002654684,"domain_scores_codex":[0.9988849,0.0001302144,0.0001584709,0.0002329914,0.0004137098,0.0001797638],"domain_scores_gemma":[0.9990653,0.0005616095,0.000108364,0.0000751531,0.00008639899,0.0001031249],"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":[0.0005832652,0.000581332,0.008491958,0.000007641305,0.0001861973,0.00004680167,0.002649786,0.6812246,0.00009344399,0.0001911839,0.002891488,0.3030523],"study_design_scores_gemma":[0.0005615407,0.0009359612,0.0004872968,0.000006867655,0.00002822585,0.00006534054,0.001719918,0.9819203,0.00007076431,0.009070766,0.005005926,0.0001271127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8370123,0.00002565748,0.1612596,0.000770712,0.0003697027,0.0003551822,0.00004528083,0.00004710256,0.0001144596],"genre_scores_gemma":[0.995295,0.000006730487,0.003515075,0.0007070607,0.0002541271,0.00001392922,0.0000377455,0.000005701449,0.0001646506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3029252,"threshold_uncertainty_score":0.4730867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112471005484849,"score_gpt":0.2413159266079594,"score_spread":0.2300688260594745,"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."}}