{"id":"W2604783552","doi":"10.1002/2017gl072785","title":"Time‐evolving seismic tomography: The method and its application to the 1989 Loma Prieta and 2014 South Napa earthquake area, California","year":2017,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"NAPA; Seismology; Geology; Window (computing); Tomography; Seismic tomography; Geophysical imaging; Geophysics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322139,0.0002267946,0.0001201559,0.0005591129,0.0002456811,0.000353509,0.0005686773,0.0002904288,0.00041207],"category_scores_gemma":[0.001060952,0.0001735506,0.0001652989,0.0007063915,0.0001876472,0.0003545139,0.0002566093,0.0002350919,0.00004773396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004415392,"about_ca_system_score_gemma":0.000568677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05618076,"about_ca_topic_score_gemma":0.05626319,"domain_scores_codex":[0.9999404,0.00001283407,0.000003491456,0.00002034418,0.00001595069,0.000007031141],"domain_scores_gemma":[0.9998565,0.00004595224,0.00002870111,0.00001364781,0.00004206793,0.00001311686],"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":[0.0001727975,0.0001277203,0.05667213,0.00006887478,0.00007067041,0.0007309638,0.0003853467,0.603961,0.03081567,0.004028313,0.0009672179,0.3019993],"study_design_scores_gemma":[0.000008530992,0.00001307985,0.009956013,0.000003407433,0.000009377221,0.00006492052,0.00006003119,0.9872659,0.001812407,0.0003436507,0.0004524817,0.00001006931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7121084,0.0002096878,0.2845145,0.0002411346,0.00001844533,0.00008159668,0.000223929,0.0003841153,0.002218152],"genre_scores_gemma":[0.8420483,0.000181549,0.1568868,0.00001393999,0.00001178878,0.00003425819,0.0001551333,0.00003095755,0.0006373406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05618076,"threshold_uncertainty_score":0.1117075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348379142498086,"score_gpt":0.2867231938723975,"score_spread":0.2632394024474166,"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."}}