{"id":"W2613495163","doi":"10.1364/cleo_at.2017.jtu5a.95","title":"Squeezed Hollow Core Photonic Bragg fiber for surface sensing applications","year":2017,"lang":"en","type":"article","venue":"Conference on Lasers and Electro-Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Core (optical fiber); Fiber Bragg grating; Photonic-crystal fiber; Materials science; Optical fiber; Optics; Photonics; Sensitivity (control systems); Fiber optic sensor; Fiber; Plastic optical fiber; Optoelectronics; Physics; Electronic engineering; Engineering; 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":[0.0000684257,0.0002275408,0.0002485606,0.00003539749,0.0003676933,0.0001583891,0.0001802305,0.0001274606,0.00001905567],"category_scores_gemma":[0.0000350536,0.0002379275,0.00005557013,0.00004647181,0.0001135342,0.0001153199,0.00002422561,0.0002212045,0.00002876873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005257002,"about_ca_system_score_gemma":0.00004053252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004951837,"about_ca_topic_score_gemma":0.00001403563,"domain_scores_codex":[0.9990094,0.00000542617,0.0001712955,0.0002822618,0.0001032323,0.0004283545],"domain_scores_gemma":[0.9990451,0.000111749,0.00007570038,0.0005434973,0.00009851318,0.0001254872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004950949,0.0001850744,0.0003479338,0.0007329444,0.0006300262,0.00004718955,0.0009538998,0.07157961,0.6485018,0.1055488,0.004870711,0.1661069],"study_design_scores_gemma":[0.001711746,0.0002590513,0.0001612598,0.0001033499,0.0001072976,0.000022347,0.0001280815,0.86937,0.1016173,0.008391792,0.01729142,0.0008363723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403447,0.0001425013,0.04115263,0.0004678431,0.0002195656,0.001065201,0.0000693019,0.0003444507,0.01619384],"genre_scores_gemma":[0.9767417,0.0003628538,0.02104952,0.00007107245,0.00008414938,0.00002583229,0.00002803603,0.0000614134,0.001575407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977903,"threshold_uncertainty_score":0.9702403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014512652141967,"score_gpt":0.2708622446532761,"score_spread":0.2407171181318564,"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."}}