{"id":"W1997192822","doi":"10.1139/l00-006","title":"Distributed strain sensing for structural monitoring applications","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural health monitoring; Brillouin scattering; Strain (injury); Optical fiber; Distributed acoustic sensing; Brillouin zone; Image resolution; Key (lock); Computer science; Optics; Fiber optic sensor; Materials science; Remote sensing; Engineering; Structural engineering; Physics; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007415048,0.0001549285,0.0001925179,0.0001752419,0.00007318014,0.00004626995,0.000138112,0.00006739218,0.00007212464],"category_scores_gemma":[0.00003681707,0.0001788939,0.0000858268,0.0001957459,0.00001755525,0.0001700837,0.000001579356,0.0002242983,0.000003123182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002649844,"about_ca_system_score_gemma":0.00008115522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002785914,"about_ca_topic_score_gemma":0.001423723,"domain_scores_codex":[0.9991276,0.000003288034,0.000312599,0.00008128989,0.00008613277,0.0003890667],"domain_scores_gemma":[0.9992595,0.00006601075,0.00003514886,0.0001288012,0.00008002108,0.0004304653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001487467,3.945673e-7,0.00005824659,0.0000325379,0.00003939173,0.00001773574,0.0001160117,0.9819889,0.002006968,0.0000574373,0.0001028318,0.01557805],"study_design_scores_gemma":[0.001633769,0.00009255523,0.005923996,0.0005055857,0.0001493035,0.001216969,0.0004015303,0.775411,0.005981868,0.001282381,0.2060618,0.001339271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2122621,0.001995064,0.7828559,0.00007276264,0.001185273,0.0003815468,0.0003327864,0.0001841995,0.0007304425],"genre_scores_gemma":[0.9844244,0.00001843748,0.01491555,0.000004201048,0.0005423747,0.000003858837,0.00001022073,0.00005762408,0.00002329197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7721624,"threshold_uncertainty_score":0.7295083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00736713944170511,"score_gpt":0.2023103722289125,"score_spread":0.1949432327872073,"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."}}