{"id":"W1992297305","doi":"10.3997/2214-4609.20140599","title":"Geological and Rock Physics Constraints in Anisotropic Tomography","year":2014,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Canyon; Anisotropy; Regularization (linguistics); Geology; Tomography; Property (philosophy); Seismic tomography; Street canyon; Seismic anisotropy; Geophysics; Computer science; Physics; Geomorphology; Artificial intelligence; Optics; Mantle (geology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272746,0.00006904828,0.00009218914,0.0000511906,0.00004908328,0.000035417,0.00007672451,0.00003996221,0.0001648762],"category_scores_gemma":[0.00003376707,0.00005568944,0.00001651118,0.0001314736,0.00008068701,0.0001355673,0.000009145655,0.00009797418,0.00002832689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001145005,"about_ca_system_score_gemma":0.000003906736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002210719,"about_ca_topic_score_gemma":0.000002398537,"domain_scores_codex":[0.999512,0.000005580646,0.00008103924,0.0001619436,0.00007948129,0.0001599831],"domain_scores_gemma":[0.9998527,0.00002412031,0.00002685743,0.00002587267,0.00001974099,0.00005068171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004068695,0.000004971038,0.9235258,0.00001050129,0.000001210749,5.288964e-7,0.00009363217,0.000002624547,0.0000382785,0.0009724008,0.00126507,0.07408094],"study_design_scores_gemma":[0.0004763072,0.0002889477,0.8200235,0.0000522501,0.000007666349,0.00003325791,0.0003292615,0.1131115,0.0016519,0.04016786,0.02356459,0.0002929641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671268,0.00008331315,0.000693588,0.0004338836,0.00004238604,0.0000663852,0.00000207495,0.0001110553,0.03144056],"genre_scores_gemma":[0.9971607,0.00003352703,0.001463812,0.001262667,0.00004519746,6.245601e-7,0.000003115069,0.000001226672,0.00002917785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131088,"threshold_uncertainty_score":0.2270949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022004509673099,"score_gpt":0.1948949565072519,"score_spread":0.1846749114105209,"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."}}