{"id":"W2290256358","doi":"10.1515/secm-2014-0029","title":"An experimental study on the effect of length and orientation of embedded FBG sensors on the signal properties under fatigue loading","year":2015,"lang":"en","type":"article","venue":"Science and Engineering of Composite Materials","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Fiber Bragg grating; Materials science; Structural health monitoring; Perpendicular; SIGNAL (programming language); Composite number; Reinforcement; Fiber; Fiber optic sensor; Orientation (vector space); Optical fiber; Composite material; Structural engineering; Strain (injury); Reliability (semiconductor); Acoustics; Optics; Optoelectronics; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006613677,0.0001239691,0.0001969712,0.00008486769,0.00004930474,0.00003631152,0.0001294884,0.00001895167,0.000002559641],"category_scores_gemma":[0.00003878144,0.00007089644,0.00001004104,0.0001481076,0.0001801516,0.0001439432,0.00002591505,0.0000417048,3.681816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002600857,"about_ca_system_score_gemma":0.000006953779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000724259,"about_ca_topic_score_gemma":7.339828e-8,"domain_scores_codex":[0.9992122,0.00004127655,0.0001973114,0.0001247193,0.0002991953,0.0001252803],"domain_scores_gemma":[0.9995766,0.0001192736,0.00004858189,0.0001688349,0.00004510559,0.0000416573],"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":[0.00004250837,0.0000162394,0.00008317574,0.00002794254,0.00001006651,2.614044e-7,0.003186169,0.1722892,0.8241327,0.0001951266,8.92805e-7,0.00001567138],"study_design_scores_gemma":[0.0002462695,0.0009715684,0.001247948,0.00008299493,0.000009640754,0.000001988406,0.002554301,0.01556414,0.97924,0.0000054919,4.135172e-7,0.00007521626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992722,0.00003386901,0.0001294331,0.000009250572,0.0001525567,0.0003338154,0.000003166617,0.00002909632,0.00003662665],"genre_scores_gemma":[0.9998073,0.000001396072,0.0001482879,0.000003092479,0.00001477129,0.00001143337,4.098913e-7,0.00001238722,9.341529e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1567251,"threshold_uncertainty_score":0.2891073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095613435401103,"score_gpt":0.2678167035300856,"score_spread":0.2368605691760746,"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."}}