{"id":"W2618987017","doi":"10.3997/2214-4609.201700594","title":"Shear Wave Reconstruction from Low Cost Randomized Acquisition","year":2017,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Data acquisition; Interpolation (computer graphics); Shear waves; Longitudinal wave; Geology; Shear (geology); Sampling (signal processing); Computer science; Acoustics; Geodesy; Wave propagation; Computer vision; Filter (signal processing); Physics; Optics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004092777,0.00009837767,0.000206403,0.00005583588,0.0004606341,0.0003108741,0.000176463,0.00006749086,0.001769931],"category_scores_gemma":[0.0001747738,0.00008004851,0.00007110483,0.00002947534,0.0002328337,0.0007636955,0.00001296791,0.0001134887,0.0002279766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006065913,"about_ca_system_score_gemma":0.00001259723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004898679,"about_ca_topic_score_gemma":0.00000393761,"domain_scores_codex":[0.9992945,0.00001057358,0.0001558805,0.0002223292,0.000150965,0.000165809],"domain_scores_gemma":[0.999513,0.00004613644,0.0001816591,0.0001109419,0.00007727079,0.00007096541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003840991,0.00001048444,0.07473571,0.00002336826,0.00003265846,0.00000381899,0.000440816,0.000001429883,0.0003508704,0.0001879446,0.02213591,0.898236],"study_design_scores_gemma":[0.07951073,0.0001612775,0.1749626,0.0008513991,0.0002116775,0.0002014916,0.001239628,0.4883333,0.1023461,0.117082,0.03368441,0.001415393],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8932403,0.0001124266,0.0006686486,0.002431203,0.0009193365,0.0004482419,0.00004088133,0.0002945692,0.1018444],"genre_scores_gemma":[0.9943473,0.0001250293,0.00416547,0.0007879394,0.0002539323,0.000003961831,0.00003658173,0.000003220052,0.0002765608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8968206,"threshold_uncertainty_score":0.9991426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645525090844505,"score_gpt":0.2179187223819948,"score_spread":0.2014634714735498,"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."}}