{"id":"W4317861415","doi":"10.1088/1361-6501/acb5b2","title":"Prospects on ultrasound measurement techniques with optical fibers","year":2023,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nondestructive testing; Ultrasound; Structural health monitoring; Transducer; Ultrasonic sensor; Materials science; Broadband; Multiplexing; Optical fiber; Acoustics; Electromagnetic interference; Computer science; Optics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001904801,0.0001683816,0.0001503929,0.0005605146,0.0002287581,0.0000616885,0.0002686705,0.00006847585,0.000004717437],"category_scores_gemma":[0.000478761,0.0001319601,0.0000116712,0.001836638,0.0006711771,0.0001251776,0.00003515143,0.0002181288,0.00002569176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004966237,"about_ca_system_score_gemma":0.0001844676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003224845,"about_ca_topic_score_gemma":0.00001083688,"domain_scores_codex":[0.9972556,0.000004532259,0.0001344994,0.0003524665,0.001705337,0.0005476099],"domain_scores_gemma":[0.9991478,0.00001688449,0.00001914965,0.0002790972,0.0004517868,0.00008522186],"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":[0.000009645119,0.00004059727,0.001232016,0.00005325757,0.00003021079,0.00002852515,0.00008690944,0.0001611073,0.9627141,0.006121577,0.002371863,0.02715013],"study_design_scores_gemma":[0.0003558988,0.0003258342,0.002932214,0.0002146309,0.00002596535,0.00007113165,0.0004123865,0.001982979,0.9870459,0.001542363,0.004712493,0.0003781611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772658,0.0005523161,0.01565962,0.005385116,0.0007044427,0.00213632,0.000007296269,0.0124861,0.08580299],"genre_scores_gemma":[0.9986675,0.000052477,0.001084307,0.00005697404,0.00001801444,0.00009039111,2.928253e-7,0.00001769099,0.000012348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1214017,"threshold_uncertainty_score":0.5381176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688015151683459,"score_gpt":0.2098600650535397,"score_spread":0.1929799135367051,"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."}}