{"id":"W2052797954","doi":"10.1016/s0041-624x(02)00201-9","title":"A numerical dispersion compensation technique for time recompression of Lamb wave signals","year":2002,"lang":"en","type":"article","venue":"Ultrasonics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Acoustics; Bandwidth (computing); Optics; Time domain; Reflection (computer programming); Lamb waves; Fourier transform; Dispersion (optics); Frequency domain; Signal processing; Ultrasonic sensor; SIGNAL (programming language); Materials science; Computer science; Physics; Surface wave; Telecommunications; Radar; Computer vision","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":[0.0002703647,0.0003623105,0.0002497435,0.0004964453,0.0004541209,0.0004380529,0.0006103852,0.0004460544,0.00278279],"category_scores_gemma":[0.0008933196,0.0002139545,0.0002417308,0.0005528242,0.000372093,0.0007229081,0.0003966319,0.0006407602,0.0007443985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003694054,"about_ca_system_score_gemma":0.0005312458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009507667,"about_ca_topic_score_gemma":0.002601907,"domain_scores_codex":[0.9997507,0.00002122713,0.00001234691,0.00002901432,0.0001723263,0.00001440583],"domain_scores_gemma":[0.9996732,0.00007598572,0.00004037227,0.00008909593,0.0001059628,0.00001528864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002328905,0.0001170394,0.0003985591,0.0001205849,0.00003354644,0.0001131309,0.0001793126,0.01843967,0.5507305,0.02696501,0.00219492,0.4004748],"study_design_scores_gemma":[0.00004138601,0.0001365831,0.0008942793,0.00002105373,0.00003864571,0.0005613753,0.00003849699,0.5087451,0.4627353,0.003960688,0.02278068,0.00004634624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02109868,0.0002902567,0.9749122,0.0001095195,0.0001471748,0.00003342069,0.00003214854,0.0006332676,0.002743295],"genre_scores_gemma":[0.1256157,0.0003282002,0.8633448,0.00004883078,0.00005907184,0.00004221191,0.0001179472,0.0001279574,0.01031526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00278279,"threshold_uncertainty_score":0.009309351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163741589723286,"score_gpt":0.2113777788184039,"score_spread":0.1950036198460753,"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."}}