{"id":"W2251569685","doi":"10.12783/jmc.v2i1.83","title":"Damage Investigation in Beam Structures using Fiber Optic Polarimetric Sensors","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Cases","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Structural health monitoring; Polarimetry; Beam (structure); Modal; Modal analysis; Acoustics; Mode (computer interface); Structural engineering; Optics; Medicine; Remote sensing; Vibration; Composite material; Materials science; Computer science; Geology; Physics; Engineering; Scattering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001652502,0.0002286466,0.0001823386,0.0005823094,0.0001386684,0.0001575611,0.0001693752,0.0004117921,0.000623282],"category_scores_gemma":[0.0003255839,0.0001784604,0.0001070931,0.0002473574,0.0002546774,0.0004625414,0.0002448336,0.0001786468,0.0001288484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177132,"about_ca_system_score_gemma":0.00007239103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004097664,"about_ca_topic_score_gemma":0.0004883766,"domain_scores_codex":[0.9998268,0.00002572728,0.000004183255,0.00002805467,0.0001005458,0.00001468516],"domain_scores_gemma":[0.9997829,0.00007915639,0.0000463965,0.00002054807,0.00006237927,0.000008777057],"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":[0.0001582053,0.00002868745,0.006676235,0.00009823003,0.00001027015,0.0001392747,0.0001965006,0.003775609,0.9636209,0.0005759255,0.000116577,0.02460369],"study_design_scores_gemma":[0.00002650377,0.0006780461,0.04707837,0.0000323076,0.00003817545,0.001043775,0.0002553165,0.1021627,0.8460384,0.0007689273,0.001839422,0.0000379862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231169,0.0009544628,0.07313958,0.000105277,0.00001514867,0.00004101861,0.0001028656,0.00013647,0.002388247],"genre_scores_gemma":[0.9779606,0.0003925722,0.0208986,0.00001876159,0.000006235755,0.00001567277,0.0000296509,0.000004824628,0.0006731537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000623282,"threshold_uncertainty_score":0.00208509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611027268948945,"score_gpt":0.3213282299630154,"score_spread":0.2852179572735259,"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."}}