{"id":"W2752755354","doi":"10.1093/gji/ggx372","title":"Full-waveform detection of non-impulsive seismic events based on time-reversal methods","year":2017,"lang":"en","type":"article","venue":"Geophysical Journal International","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Seismogram; Waveform; Geology; Seismology; Amplitude; Filter (signal processing); Matched filter; Seismic noise; Noise (video); Algorithm; Computer science; Physics; Artificial intelligence","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":[0.0005013819,0.0005564006,0.0003340639,0.001033022,0.0001289158,0.0005298061,0.0007717972,0.0004670673,0.002084577],"category_scores_gemma":[0.001926641,0.0002194389,0.0004889938,0.0006396421,0.0002464959,0.0007253239,0.00049822,0.0004038912,0.000997417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154292,"about_ca_system_score_gemma":0.000359528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008367797,"about_ca_topic_score_gemma":0.0008823961,"domain_scores_codex":[0.9997395,0.00005425089,0.00002098631,0.00004451191,0.000114201,0.00002666621],"domain_scores_gemma":[0.9991719,0.0002879233,0.000137798,0.0001480191,0.0002037369,0.00005073755],"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":[0.0002271756,0.0001382864,0.002655891,0.0001615005,0.00006354108,0.0002693579,0.0001077063,0.06617895,0.1506458,0.01557024,0.001726816,0.7622547],"study_design_scores_gemma":[0.00001721876,0.00007329418,0.002384167,0.000009292972,0.00001498063,0.0002827232,0.00001706722,0.963298,0.02740101,0.00411897,0.002350897,0.00003235308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01442117,0.00005244735,0.9842399,0.00002398864,0.00001568888,0.00002312547,0.00006365119,0.0005493854,0.0006107237],"genre_scores_gemma":[0.2099126,0.0001790509,0.7864366,0.00004785611,0.00003931381,0.0000641282,0.0004649312,0.00023056,0.002625023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002084577,"threshold_uncertainty_score":0.006973624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045647452356771,"score_gpt":0.2857613779171861,"score_spread":0.2753049033936184,"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."}}