{"id":"W2950000172","doi":"10.3390/acoustics1020026","title":"Wave Mode Identification of Acoustic Emission Signals Using Phase Analysis","year":2019,"lang":"en","type":"article","venue":"Acoustics","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Acoustics; Attenuation; SIGNAL (programming language); Phase velocity; Hilbert–Huang transform; Hilbert transform; Wave propagation; Acoustic emission; Phase (matter); Mode (computer interface); Guided wave testing; Dispersion (optics); Instantaneous phase; Computer science; Physics; Optics; Telecommunications; White noise","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001842967,0.0001433265,0.0002658419,0.0002210743,0.00003764159,0.00002995987,0.0001022642,0.0001030084,0.0001031125],"category_scores_gemma":[0.00007427414,0.000145484,0.0001014294,0.0005685555,0.00001991311,0.0001088748,0.00001910028,0.0001139907,0.00001441454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007324454,"about_ca_system_score_gemma":0.00002651517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008597872,"about_ca_topic_score_gemma":4.89216e-7,"domain_scores_codex":[0.9988917,0.00001603581,0.0004638912,0.0001759705,0.0002581398,0.0001943006],"domain_scores_gemma":[0.9992419,0.00009355567,0.0001375085,0.000309057,0.000155073,0.00006287369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003257514,0.00002621161,0.00009272411,0.00006736288,0.00009615911,6.962859e-7,0.00005168043,0.4899247,0.5090774,0.000005968039,0.00002504116,0.000628752],"study_design_scores_gemma":[0.0002730675,0.00002369786,0.0002876852,0.00002489215,0.0008439959,0.000001657173,0.00008753953,0.8804646,0.117558,0.0002864787,0.000004373607,0.000144034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5285888,0.00005233448,0.4709596,0.000001885265,0.0001392413,0.00009836513,0.00004913453,0.00004620468,0.00006445229],"genre_scores_gemma":[0.99676,0.00005241379,0.002934111,0.000006286185,0.00005219667,0.000002684482,0.00007586969,0.00003062409,0.00008581596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4681712,"threshold_uncertainty_score":0.5932663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01585484338954331,"score_gpt":0.2673758316393611,"score_spread":0.2515209882498178,"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."}}