{"id":"W2015975284","doi":"10.1117/12.2058532","title":"High-resolution high-sensitivity and truly distributed optical frequency domain reflectometry for structural crack detection","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reflectometry; Materials science; Structural health monitoring; Polarization (electrochemistry); Image resolution; Optics; Sensitivity (control systems); Frequency domain; Distributed acoustic sensing; Optical fiber; Temperature measurement; Fiber optic sensor; Time domain; Optoelectronics; Electronic engineering; Physics; Computer science; Composite material; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006459165,0.0004350558,0.0005606787,0.0001433641,0.000136924,0.0001087942,0.000368165,0.0003324552,0.00000347787],"category_scores_gemma":[0.001055868,0.0003992556,0.0003912177,0.0003860602,0.0002754779,0.0006147556,0.00009210387,0.0004158371,9.271307e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003359594,"about_ca_system_score_gemma":0.00001185035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001205243,"about_ca_topic_score_gemma":0.000001382864,"domain_scores_codex":[0.9977123,5.109049e-8,0.0007164207,0.0004754848,0.0005363447,0.0005594332],"domain_scores_gemma":[0.9980401,0.0004185244,0.0002413777,0.00008164286,0.001041928,0.0001764764],"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":[0.0001163294,0.00002478264,0.00009211227,0.0004409454,0.000260926,8.336067e-8,0.00006439463,0.002376559,0.6657875,0.3299966,0.0001593597,0.0006804168],"study_design_scores_gemma":[0.003667246,0.0009690268,0.00819801,0.0003271812,0.0003664494,0.00007931139,0.0006537838,0.4418042,0.5083516,0.03375712,0.000696136,0.001129952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865613,0.00006203439,0.01104637,0.0005491544,0.0005043457,0.0006699956,0.0001623358,0.000267307,0.0001771897],"genre_scores_gemma":[0.7066536,0.0000256332,0.2926883,0.00002210501,0.0004132468,0.00009044233,0.00002520753,0.00007278123,0.000008743378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4394276,"threshold_uncertainty_score":0.9998459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007501826916273139,"score_gpt":0.221565227974075,"score_spread":0.2140634010578019,"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."}}