{"id":"W2083420248","doi":"10.1007/s13349-011-0006-8","title":"Crack detection of steel girders using Brillouin optical time domain analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Girder; Materials science; Brillouin zone; Structural engineering; Optical fiber; Time domain; Optics; Fiber optic sensor; Bridge (graph theory); Acoustics; Composite material; Fiber; Engineering; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004135103,0.0001381168,0.0004143985,0.0002982081,0.00008691245,0.00001910869,0.0001123736,0.00007514378,0.00002996665],"category_scores_gemma":[0.00003337519,0.0001235199,0.0001728362,0.0004219548,0.00002844066,0.0002057184,0.00001367568,0.0002802407,9.109254e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747551,"about_ca_system_score_gemma":0.00005280986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000687203,"about_ca_topic_score_gemma":0.00001757038,"domain_scores_codex":[0.9985169,0.00004278788,0.0007513577,0.00009114225,0.0003283049,0.0002695127],"domain_scores_gemma":[0.9991295,0.0000494427,0.0004019518,0.0001071343,0.0001505336,0.0001614357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001580156,0.00003212409,0.02068974,0.0005611065,0.001271646,0.00002064425,0.003305205,0.2315108,0.6890668,0.0000465167,0.00001094472,0.05332643],"study_design_scores_gemma":[0.001550057,0.0008346821,0.4616489,0.0006098175,0.0009674503,0.0003232535,0.001352097,0.3347564,0.1951119,0.002082376,0.00006251235,0.0007006145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696619,0.0005397582,0.02873955,0.000009700543,0.0008494957,0.00006817713,0.000003122238,0.00002191548,0.0001064068],"genre_scores_gemma":[0.9844911,0.00007240319,0.01503978,0.000002804961,0.000369563,3.449293e-7,5.413414e-7,0.00002023138,0.000003220656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4939549,"threshold_uncertainty_score":0.5036994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154302127372514,"score_gpt":0.2582493230343934,"score_spread":0.2367063017606682,"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."}}