{"id":"W3012715516","doi":"10.1139/cgj-2019-0167","title":"Dyadic wavelet analysis of bender element signals in determining shear wave velocity","year":2020,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Maxima; Wavelet transform; Wavelet; Shear modulus; Shear (geology); Continuous wavelet transform; Wave velocity; Acoustics; Mathematics; Mathematical analysis; Geology; Materials science; Discrete wavelet transform; Physics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00128501,0.0008072997,0.0005096059,0.001912346,0.0002438145,0.0008231245,0.0003662891,0.0005188987,0.0008380345],"category_scores_gemma":[0.00289043,0.0002764896,0.0003669403,0.001636326,0.0003593654,0.001207667,0.0004847615,0.0006013864,0.0005537466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927351,"about_ca_system_score_gemma":0.0004456927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612059,"about_ca_topic_score_gemma":0.002088082,"domain_scores_codex":[0.999393,0.000148374,0.00003450609,0.0001167256,0.0002509576,0.00005646591],"domain_scores_gemma":[0.9991819,0.0003052642,0.00009224552,0.00006695929,0.0003194888,0.00003420592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006007836,0.0001127504,0.01170766,0.0004348599,0.00007038361,0.0002720188,0.000369987,0.04549169,0.2709172,0.004870626,0.001165389,0.6639866],"study_design_scores_gemma":[0.00003292698,0.000309335,0.03709976,0.00008984999,0.0001364041,0.0005203405,0.0004601477,0.8298063,0.1227103,0.002937669,0.005791553,0.0001053566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1922215,0.0008456335,0.8039305,0.00009172351,0.00008922067,0.00006550247,0.000138282,0.0002943414,0.002323268],"genre_scores_gemma":[0.68064,0.001760231,0.3154057,0.00003716022,0.00005292797,0.00008137698,0.000258121,0.0001139846,0.001650461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001912346,"threshold_uncertainty_score":0.006795883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115517137923204,"score_gpt":0.212377224964054,"score_spread":0.191222053584822,"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."}}