{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004180188,0.0001306054,0.0002128545,0.00005724979,0.00003986107,0.000012475,0.00009443364,0.00003894626,0.00005874189],"category_scores_gemma":[0.00002048114,0.0001210274,0.00005434248,0.00006502757,0.00002483064,0.00003307512,0.00001570114,0.0001197455,0.000003653134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008204846,"about_ca_system_score_gemma":0.00001818524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008085215,"about_ca_topic_score_gemma":5.723368e-7,"domain_scores_codex":[0.9992113,0.00001082091,0.0002258924,0.0001284789,0.0001295551,0.000293936],"domain_scores_gemma":[0.999507,0.0001204368,0.00004532711,0.0002004228,0.00004171437,0.00008509067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006628001,0.00001096873,0.003971695,0.0007804731,0.000115719,0.00000174632,0.0008414191,0.6675092,0.25869,0.0009490456,0.0004542092,0.06666891],"study_design_scores_gemma":[0.001288559,0.0003748481,0.2131127,0.0002334678,0.00002720925,0.00004142025,0.0008148125,0.6900492,0.07895875,0.01402808,0.0003757474,0.0006951608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893092,0.00006993052,0.008439441,0.0001112767,0.0003332827,0.0004600435,0.00001492007,0.0001482089,0.001113687],"genre_scores_gemma":[0.69582,0.000003781393,0.3039647,0.000007184832,0.00009919584,0.00003405133,0.000002252425,0.00002773375,0.00004100779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2955253,"threshold_uncertainty_score":0.4935355,"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."}}