{"id":"W2058143043","doi":"10.1117/12.541073","title":"Wireless strain sensor based on resonant RF cavities","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Acoustic Wave Resonator Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Detector; Coaxial; Wireless sensor network; Radio frequency; Optoelectronics; Structural health monitoring; Bandwidth (computing); Resonance (particle physics); Center frequency; Acoustics; Antenna (radio); Optics; Computer science; Physics; Band-pass filter; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003993471,0.00045589,0.0004898885,0.0001868178,0.00008414238,0.00009847384,0.001015106,0.0003370967,0.000008738359],"category_scores_gemma":[0.0004663741,0.0003886363,0.0005586155,0.0003728105,0.000346635,0.0002988099,0.0001064334,0.0005324316,0.00000303907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488578,"about_ca_system_score_gemma":0.00004343218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008188569,"about_ca_topic_score_gemma":1.505715e-7,"domain_scores_codex":[0.9975142,8.129289e-9,0.0006589034,0.0003879091,0.0008697439,0.0005692113],"domain_scores_gemma":[0.9986585,0.0001714527,0.0001910714,0.00009761478,0.0007601874,0.0001211784],"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":[0.00006132149,0.0001096638,0.00008925353,0.0007521604,0.0002786219,6.71036e-7,0.0001387732,0.01452633,0.6290035,0.3526329,0.001507765,0.0008991141],"study_design_scores_gemma":[0.003261873,0.0008191817,0.001246585,0.001545392,0.0002466556,0.00003772652,0.005506483,0.3491097,0.6264616,0.00591355,0.004567099,0.001284165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939301,0.0001048205,0.0002986433,0.002005441,0.000268598,0.0005143015,0.0001913371,0.0005754188,0.002111324],"genre_scores_gemma":[0.9200035,0.00009499387,0.07913428,0.0001124153,0.0002797821,0.0001617266,0.00001014675,0.0001310285,0.0000720777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3467193,"threshold_uncertainty_score":0.9998565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040203253987725,"score_gpt":0.2147514058674533,"score_spread":0.204349373327576,"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."}}