{"id":"W2068311722","doi":"10.1364/ol.25.000090","title":"Distributed Bragg grating sensing with a direct group-delay measurement technique","year":2000,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Optics; Fiber Bragg grating; Group delay and phase delay; Grating; Diffraction grating; Materials science; Physics; Computer science; Optical fiber; Telecommunications; Bandwidth (computing)","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":[0.0001684682,0.0002713375,0.0002269231,0.00006174947,0.00009360137,0.00005509167,0.0001045467,0.00007078189,0.00001677443],"category_scores_gemma":[0.00002156019,0.0002594729,0.00005019394,0.000280944,0.00005821685,0.0001294394,0.00001142095,0.0002755287,0.00001869456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002500248,"about_ca_system_score_gemma":0.000007028846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008917824,"about_ca_topic_score_gemma":0.00001294424,"domain_scores_codex":[0.9986652,0.00002539761,0.0002435469,0.0002567746,0.0003705042,0.0004386131],"domain_scores_gemma":[0.9994457,0.00004665021,0.00003408457,0.0003346605,0.0000440813,0.00009479525],"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":[0.00002914782,0.00002322443,0.00008227496,0.00006374283,0.0001524665,0.0002786856,0.0002814539,0.6597883,0.3270214,0.00004504346,0.0007345226,0.01149979],"study_design_scores_gemma":[0.00366537,0.0004324374,0.001235695,0.001846556,0.0004615079,0.001334203,0.0004019486,0.6849389,0.2650861,0.0001594936,0.03537856,0.00505921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3425943,0.00007066932,0.6502122,0.0004419981,0.0001290076,0.0005326925,0.00002755653,0.001806578,0.004185023],"genre_scores_gemma":[0.8019904,0.00001789851,0.1973832,0.0003076491,0.00009288257,0.00002149541,0.00002308304,0.000145577,0.00001770382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4593962,"threshold_uncertainty_score":0.9999858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008471912584337849,"score_gpt":0.1848608543749347,"score_spread":0.1763889417905968,"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."}}