{"id":"W2324850561","doi":"10.1115/imece2002-33864","title":"The Development and the Use of Fiber Optic Sensors for the Structural Health Monitoring of Composite (GFRP) Structures","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fibre-reinforced plastic; Structural health monitoring; Fiber optic sensor; Optical fiber; Strain gauge; Interferometry; Materials science; Distributed acoustic sensing; Interference (communication); Optics; Structural engineering; Computer science; Engineering; Composite material; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599489,0.0004050891,0.000243043,0.0005029016,0.0002939134,0.0004497664,0.0004734938,0.001326756,0.00067081],"category_scores_gemma":[0.0005516846,0.0002606555,0.0003166756,0.0003725729,0.0005829331,0.00102788,0.0002938851,0.0007659584,0.0003821192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003113855,"about_ca_system_score_gemma":0.0006024273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005194024,"about_ca_topic_score_gemma":0.0007502456,"domain_scores_codex":[0.999524,0.00004114614,0.0000126879,0.0000600016,0.0003205218,0.00004174864],"domain_scores_gemma":[0.9997829,0.00004127873,0.00003069465,0.00001912673,0.0001041741,0.00002180112],"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":[0.00008331915,0.00009008639,0.0008490687,0.0003312758,0.00001223725,0.0001829812,0.0001211572,0.001199506,0.8271146,0.008564278,0.0009998742,0.1604516],"study_design_scores_gemma":[0.00001143475,0.0009600722,0.003001422,0.00004967345,0.00002566662,0.001086391,0.00003346591,0.006987702,0.9193273,0.001204745,0.06727144,0.00004073503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2876892,0.0895481,0.5887007,0.002743658,0.001467466,0.0007333995,0.0003400355,0.001241902,0.02753557],"genre_scores_gemma":[0.4468087,0.04880185,0.4756854,0.0006504391,0.0002932486,0.0002270738,0.000327171,0.00005790098,0.02714816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001326756,"threshold_uncertainty_score":0.00349015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854313066401447,"score_gpt":0.2555613405513528,"score_spread":0.2170182098873384,"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."}}