{"id":"W1974872404","doi":"10.1088/0957-0233/20/3/034007","title":"Non-uniform-tilt-modulated fiber Bragg grating for temperature-immune micro-displacement measurement","year":2009,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Materials science; Optics; Fiber Bragg grating; Cladding (metalworking); Tilt (camera); Cantilever; Cladding mode; Displacement (psychology); Fiber optic sensor; Optical fiber; Polarization-maintaining optical fiber; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001977199,0.0003204205,0.0003214946,0.0005358562,0.0004452906,0.00008400538,0.0004476834,0.0001891738,0.0000102757],"category_scores_gemma":[0.0003698396,0.0002962158,0.00004513544,0.001253054,0.000332224,0.0002836256,0.00005641991,0.0002685593,0.00001255288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000797893,"about_ca_system_score_gemma":0.0001327292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000280872,"about_ca_topic_score_gemma":0.00001068203,"domain_scores_codex":[0.9969297,0.000006506331,0.0004328503,0.0005320489,0.001302849,0.0007960594],"domain_scores_gemma":[0.9980404,0.000009685625,0.0000790659,0.0005164105,0.001243039,0.0001114073],"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":[0.00001083094,0.00003860401,0.0000391077,0.00003018573,0.0000243223,0.000002246801,0.00008044772,0.001752905,0.9810415,0.0003361432,0.0003456203,0.01629809],"study_design_scores_gemma":[0.001311777,0.000389187,0.001105682,0.0001737275,0.00003971411,0.00002862586,0.0002970934,0.01390388,0.9748744,0.001473603,0.005853246,0.0005490262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971227,0.002652402,0.01348517,0.004006028,0.0008557174,0.002847,0.00001263819,0.001617268,0.003296737],"genre_scores_gemma":[0.9864939,0.00004051467,0.01318023,0.00009017951,0.00003351151,0.00007953938,0.000002080016,0.00002690746,0.00005316376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574907,"threshold_uncertainty_score":0.999949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512058504192733,"score_gpt":0.2268275382225896,"score_spread":0.2117069531806623,"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."}}