{"id":"W1990197356","doi":"10.48550/arxiv.1304.4447","title":"Micro-displacement sensors based on plastic photonic bandgap Bragg fibers","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science; Fiber Bragg grating; Distributed Bragg reflector; Optics; Fiber optic sensor; Plastic optical fiber; Multi-mode optical fiber; Bending; Displacement (psychology); Optoelectronics; Fiber; Wavelength; PHOSFOS; Photonic-crystal fiber; Optical fiber; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338529,0.0005147878,0.0003109524,0.0004975299,0.0001872007,0.0003612266,0.0006744428,0.0006405141,0.0004794483],"category_scores_gemma":[0.0004464207,0.0003557059,0.0001989366,0.0003001404,0.0004095766,0.0005330899,0.000421838,0.0003792571,0.0002327418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004218861,"about_ca_system_score_gemma":0.0001403941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009031141,"about_ca_topic_score_gemma":0.001719529,"domain_scores_codex":[0.999431,0.00005125637,0.00002132372,0.0001100328,0.0003208746,0.00006559768],"domain_scores_gemma":[0.999619,0.0001100139,0.0001448427,0.000030548,0.00007205314,0.00002353239],"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":[0.00006058279,0.00001729457,0.0005900998,0.00005072499,0.000007573221,0.00004693295,0.00002135487,0.0004443715,0.9930241,0.0001135493,0.00004725303,0.005576201],"study_design_scores_gemma":[0.000003630072,0.0000820835,0.001385013,0.000003068745,0.000006940252,0.00008895282,0.00001289267,0.004263154,0.9938379,0.00003050853,0.0002766113,0.000009125732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9295452,0.002126079,0.06399156,0.0002431209,0.0001385902,0.00006468829,0.000187864,0.0007380439,0.002964842],"genre_scores_gemma":[0.9459433,0.0006187065,0.0518102,0.0000898244,0.00002784661,0.00002914317,0.00007169161,0.00002087403,0.001388394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009031141,"threshold_uncertainty_score":0.003060997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771744847465382,"score_gpt":0.1670135998392092,"score_spread":0.1392961513645554,"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."}}