{"id":"W2316512288","doi":"10.3997/2214-4609.201413573","title":"4D Surface Wave Tomography Using Ambient Seismic Noise","year":2015,"lang":"en","type":"article","venue":"Proceedings","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Ambient noise level; Surface wave; Swamp; Seismology; Passive seismic; Tomography; SIGNAL (programming language); Noise (video); Seismic wave; Remote sensing; Geomorphology; Image (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":[0.0001633267,0.0003261272,0.0001589219,0.0009578952,0.00008131676,0.0004734757,0.0002111792,0.0002278746,0.001255923],"category_scores_gemma":[0.0005024078,0.0001727487,0.0002036059,0.0007924829,0.0002220233,0.0003397731,0.0004130105,0.000213732,0.000241196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001546698,"about_ca_system_score_gemma":0.000241805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002497277,"about_ca_topic_score_gemma":0.004028162,"domain_scores_codex":[0.9998755,0.00001889509,0.000005174209,0.00002350357,0.00005940976,0.00001760351],"domain_scores_gemma":[0.9998376,0.00004167823,0.00002520469,0.00002382924,0.00005709129,0.00001459908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004011037,0.0001160145,0.04724039,0.0001689822,0.00009359777,0.0008305638,0.0003862729,0.142187,0.6044159,0.003393027,0.001483997,0.1992832],"study_design_scores_gemma":[0.0000306803,0.0001286638,0.07729183,0.00002509466,0.00003766906,0.0004809566,0.000159504,0.8609471,0.05635445,0.001539665,0.002954711,0.00004975096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.731396,0.00009042443,0.2623245,0.0001029382,0.00002820498,0.0000382487,0.0008253132,0.0009802463,0.004214194],"genre_scores_gemma":[0.9102842,0.0001003777,0.08789816,0.00001798593,0.00001846228,0.00001746937,0.0006010447,0.00006640184,0.0009959277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002497277,"threshold_uncertainty_score":0.004965425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04275452942268938,"score_gpt":0.2238236341315333,"score_spread":0.1810691047088439,"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."}}