{"id":"W3087514346","doi":"","title":"Assessment of Fibre Optic Sensor Architectures for Structural Health Monitoring","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural health monitoring; Materials science; Fiber Bragg grating; Photodiode; Optical fiber; EMI; Fiber optic sensor; Acoustics; Guided wave testing; Interference (communication); Broadband; Optoelectronics; Optics; Electromagnetic interference; Electronic engineering; Computer science; Fiber; Telecommunications; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00155575,0.0007551137,0.0001845975,0.0007554222,0.000202489,0.0003799999,0.0005084475,0.0009580781,0.001001943],"category_scores_gemma":[0.00221845,0.0001562134,0.0002025355,0.0003447533,0.0002504608,0.0007205259,0.0002959551,0.0002473519,0.0002272508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005312422,"about_ca_system_score_gemma":0.0003442334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008677585,"about_ca_topic_score_gemma":0.001865859,"domain_scores_codex":[0.9991366,0.0001723421,0.00003328437,0.00009152132,0.0004830976,0.00008321215],"domain_scores_gemma":[0.9986268,0.0002665698,0.0001894553,0.00008209638,0.0007762826,0.00005880754],"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":[0.0001911756,0.0001426423,0.003804419,0.000318133,0.00002387044,0.00008168586,0.00005892259,0.009562796,0.9535358,0.0005374645,0.0001908517,0.03155223],"study_design_scores_gemma":[0.00002723198,0.004477571,0.02455109,0.00009549979,0.0001379816,0.0003259846,0.0002174257,0.05475717,0.9067352,0.0003266468,0.008307585,0.00004055054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476539,0.005128509,0.04049405,0.000265694,0.00008921931,0.0004118823,0.0002876903,0.0001853361,0.005483634],"genre_scores_gemma":[0.9524152,0.002279304,0.04255282,0.00005312081,0.00002023489,0.0001763223,0.0002477962,0.00001251262,0.002242646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00155575,"threshold_uncertainty_score":0.008227706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369632149495719,"score_gpt":0.2869014881680669,"score_spread":0.2732051666731097,"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."}}