{"id":"W1559700413","doi":"","title":"Performance of ultrasonic imaging with frequency-domain SAFT","year":2004,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultrasonic sensor; Frequency domain; Fourier transform; Acoustics; Time domain; Domain (mathematical analysis); Angular spectrum method; Fourier domain; Signal processing; Materials science; Optics; Physics; Computer science; Engineering; Electronic engineering; Mathematics; Digital signal processing; Mathematical analysis; Computer vision","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":[0.001309035,0.0005193462,0.0004999171,0.0006727608,0.0002119726,0.0007289331,0.0005361813,0.00104414,0.002055404],"category_scores_gemma":[0.006750237,0.0002229518,0.0001889595,0.0006577477,0.0004218875,0.001136906,0.0006565064,0.0003416842,0.000533423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708252,"about_ca_system_score_gemma":0.0003225992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018746,"about_ca_topic_score_gemma":0.0004852583,"domain_scores_codex":[0.999358,0.0001283218,0.00003136317,0.00008365983,0.0003278134,0.00007081792],"domain_scores_gemma":[0.9967919,0.001854494,0.0001960989,0.0002039145,0.0008584925,0.00009504054],"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":[0.002773071,0.0001505083,0.006462266,0.0003924498,0.00007975412,0.0005799141,0.0005031635,0.03591992,0.6654531,0.002602122,0.001086065,0.2839977],"study_design_scores_gemma":[0.00007059194,0.001732856,0.007886085,0.00007315131,0.0001058615,0.001684087,0.0001936092,0.434674,0.5476639,0.0008856692,0.004945212,0.00008505744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.565179,0.001890623,0.4213006,0.0004534656,0.0001979205,0.0000779141,0.0001371401,0.003089209,0.007673996],"genre_scores_gemma":[0.8743482,0.0006582284,0.1221384,0.000142203,0.00007299671,0.00003203866,0.0002357585,0.0001648367,0.002207374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002055404,"threshold_uncertainty_score":0.00692296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004585250807326934,"score_gpt":0.1800996595782066,"score_spread":0.1755144087708797,"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."}}