{"id":"W4296737199","doi":"10.3389/fphy.2022.1014404","title":"A spatially non-overlapping dual-wavelength 2D FBG for the measurement of temperature and strain","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fiber Bragg grating; Wavelength; Materials science; Optics; Strain (injury); Long-period fiber grating; Core (optical fiber); Temperature coefficient; Grating; Fiber; Fiber optic sensor; Dispersion-shifted fiber; Optoelectronics; Physics; Composite material","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":[0.0001885874,0.0001212931,0.0001856874,0.00003263093,0.00008139332,0.000009461718,0.00009900994,0.00002878407,0.000002227491],"category_scores_gemma":[0.00001939898,0.0001137114,0.0000430174,0.0001634832,0.00003428804,0.00005526614,0.00003887954,0.000223654,9.84288e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001417346,"about_ca_system_score_gemma":0.00002587762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004680699,"about_ca_topic_score_gemma":0.000006848324,"domain_scores_codex":[0.999261,0.00001289762,0.000162783,0.0001364667,0.0002448531,0.0001820464],"domain_scores_gemma":[0.9997026,0.00004581489,0.00003986764,0.0001556291,0.00003426482,0.00002182032],"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":[0.0000683805,0.00005339027,0.0004886771,0.0002174818,0.0002499427,0.000004403151,0.005746619,0.8621147,0.03520691,0.0008021476,0.005902596,0.08914473],"study_design_scores_gemma":[0.002033767,0.0001565468,0.003511348,0.00008157159,0.00008923801,0.000003851326,0.005771459,0.9627276,0.009948809,0.009422714,0.005720991,0.0005320776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3834786,0.0020458,0.6055511,0.0002717469,0.004053545,0.002674584,0.0005052963,0.0001809659,0.001238323],"genre_scores_gemma":[0.9728038,0.00004881396,0.02680435,0.00003725564,0.0001327575,0.0001008049,0.000008231198,0.00004059212,0.00002334448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5893252,"threshold_uncertainty_score":0.4637018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155781188042143,"score_gpt":0.202110980872942,"score_spread":0.1905531689925206,"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."}}