{"id":"W3188875596","doi":"10.1155/2021/9933078","title":"Comparative Application of Time‐Frequency Methods on Strong Motion Signals","year":2021,"lang":"en","type":"article","venue":"Advances in Civil Engineering","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Hilbert–Huang transform; Harmonic wavelet transform; Fourier transform; Short-time Fourier transform; Time–frequency analysis; Wavelet; Constant Q transform; Wavelet transform; Fractional Fourier transform; Computer science; Mathematics; Continuous wavelet transform; Algorithm; Discrete wavelet transform; Filter (signal processing); Fourier analysis; Mathematical analysis; Artificial intelligence; Computer vision","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":[0.002485084,0.0005056544,0.0003248398,0.00391957,0.0003108632,0.0007168009,0.0002966218,0.0004497613,0.00146468],"category_scores_gemma":[0.006552907,0.0001233042,0.0005524945,0.002688346,0.0002886513,0.001094353,0.0004109592,0.0003357865,0.0003576125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162288,"about_ca_system_score_gemma":0.0002692814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962403,"about_ca_topic_score_gemma":0.002602011,"domain_scores_codex":[0.9991663,0.0002750495,0.00005979007,0.0001181235,0.0003356851,0.00004512055],"domain_scores_gemma":[0.9972836,0.001674774,0.0001726405,0.0001729628,0.0006399359,0.00005608489],"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":[0.0006022446,0.0001400395,0.0138853,0.0005340276,0.0002345925,0.0001894171,0.0006004004,0.03906156,0.05102878,0.004994806,0.0009851417,0.8877437],"study_design_scores_gemma":[0.0000829138,0.0005839685,0.1776834,0.0001793061,0.000313871,0.0009711224,0.001407691,0.7182412,0.08032183,0.006171305,0.01381989,0.0002235547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4421626,0.003977563,0.5426664,0.0002407343,0.0002110146,0.000100182,0.0004196563,0.000606244,0.009615588],"genre_scores_gemma":[0.747558,0.002441844,0.2470425,0.0000269001,0.00009939505,0.00007525119,0.0005617219,0.0001477763,0.002046666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00391957,"threshold_uncertainty_score":0.01314253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298344445405164,"score_gpt":0.2847241402108474,"score_spread":0.2717406957567958,"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."}}