{"id":"W2331303640","doi":"10.1190/segam2014-1116.1","title":"A new wavelet energy absorption method based on adapted time window and generalized S-transform","year":2014,"lang":"en","type":"article","venue":"","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jilin University; China National Offshore Oil Corporation; University of Alberta","keywords":"Wavelet; Inversion (geology); Computer science; Sliding window protocol; Amplitude; Wavelet transform; Algorithm; Absorption (acoustics); Energy (signal processing); Window (computing); Mathematics; Acoustics; Physics; Geology; Optics; Artificial intelligence; Statistics; Seismology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004928816,0.0005972076,0.0005439058,0.0009826996,0.0002590085,0.000600433,0.0008026459,0.0005807105,0.00174851],"category_scores_gemma":[0.0008566835,0.0003034782,0.0009245648,0.0009945523,0.0003626692,0.001313726,0.0006958426,0.0008188233,0.0006204572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203894,"about_ca_system_score_gemma":0.0005399568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001368408,"about_ca_topic_score_gemma":0.001127333,"domain_scores_codex":[0.9996579,0.00005970789,0.00002133491,0.00006838221,0.0001672241,0.00002547621],"domain_scores_gemma":[0.9997126,0.00007246318,0.00003624173,0.00003588782,0.0001183372,0.00002443314],"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":[0.0002574145,0.0001250393,0.002177536,0.0003897412,0.0001349387,0.0001988101,0.000222246,0.07827265,0.1982525,0.02605716,0.003179125,0.6907328],"study_design_scores_gemma":[0.00001904182,0.00006514568,0.001052992,0.00001056815,0.00002895993,0.0001693123,0.00002972146,0.9736506,0.01741726,0.003040587,0.004483779,0.00003200474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009951317,0.00014017,0.9888204,0.00006484049,0.00003891979,0.00002084975,0.00003715027,0.0002506151,0.0006758377],"genre_scores_gemma":[0.1358994,0.0005481936,0.8588827,0.00007327856,0.00008507037,0.0001000854,0.0002353741,0.0001942656,0.00398156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00174851,"threshold_uncertainty_score":0.005849302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008474549274044521,"score_gpt":0.2074093975932199,"score_spread":0.1989348483191754,"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."}}