{"id":"W1977217134","doi":"10.1139/t04-005","title":"Analysis of dispersion curves of Rayleigh waves in the frequencywavenumber domain","year":2004,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Acoustics, Chinese Academy of Sciences","keywords":"Rayleigh wave; Wavenumber; Dispersion (optics); Acoustics; Wavelength; Rayleigh scattering; Surface wave; Frequency domain; Optics; Computational physics; Mathematics; Mechanics; Physics; Mathematical analysis","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":[0.0003817376,0.0005951971,0.0003073115,0.001722594,0.0002560101,0.0004318799,0.0004153572,0.0003391665,0.00190862],"category_scores_gemma":[0.002164417,0.0001269258,0.0003648418,0.0008775268,0.0003673377,0.0007207457,0.0003220089,0.0005091614,0.0005660399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128251,"about_ca_system_score_gemma":0.0003143963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284179,"about_ca_topic_score_gemma":0.0009649608,"domain_scores_codex":[0.9997966,0.00003036218,0.000008415352,0.00002605102,0.0001169315,0.00002163092],"domain_scores_gemma":[0.9993597,0.0003361061,0.00006061421,0.00006749969,0.000163608,0.00001247079],"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":[0.0002072879,0.000100011,0.007228748,0.0004760236,0.00008092854,0.0003993149,0.000740503,0.2783554,0.1731971,0.07319411,0.002495786,0.4635248],"study_design_scores_gemma":[0.000008706416,0.00007113092,0.003562978,0.00003686762,0.00001345244,0.0003104641,0.0001191539,0.9452138,0.02844352,0.01567896,0.006500417,0.00004054843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07685138,0.0007740917,0.9119148,0.00008634574,0.00003825997,0.00005051781,0.0001375411,0.0009011602,0.00924608],"genre_scores_gemma":[0.7194507,0.001459825,0.2732006,0.00002571693,0.00002927,0.0001430976,0.000429262,0.0002402007,0.005021394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002284179,"threshold_uncertainty_score":0.006385028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009541126639013868,"score_gpt":0.2081115451030694,"score_spread":0.1985704184640555,"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."}}