{"id":"W1964527231","doi":"10.1063/1.3592758","title":"Liquid-core low-refractive-index-contrast Bragg fiber sensor","year":2011,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Refractive index; Fiber Bragg grating; Materials science; Optics; Graded-index fiber; Core (optical fiber); Analyte; Normalized frequency (unit); Refractive index contrast; Optical fiber; Fiber optic sensor; Step-index profile; Fiber; Optoelectronics; Chemistry; Fabrication; 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004158353,0.0003841627,0.000317909,0.00005365047,0.00007028771,0.00001864925,0.0002340537,0.000110827,0.0001779641],"category_scores_gemma":[0.000004095717,0.000422049,0.0001057498,0.0002223068,0.0001064287,0.0001864912,0.00004027237,0.0004268534,0.00106512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023465,"about_ca_system_score_gemma":0.000008277037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001210347,"about_ca_topic_score_gemma":0.00000107363,"domain_scores_codex":[0.9985532,0.00000826748,0.0002581774,0.0003767887,0.0002265484,0.0005770483],"domain_scores_gemma":[0.9991491,0.00009136769,0.00006813875,0.0005317926,0.00002547154,0.0001341267],"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":[0.000161446,0.00008134032,0.00008231196,0.00006799492,0.0002615521,0.000051184,0.00207084,0.06175562,0.9237183,0.002563089,0.002133344,0.007052951],"study_design_scores_gemma":[0.002994279,0.00008641869,0.003718551,0.00009533193,0.0001783556,0.00002311796,0.0005217767,0.005820695,0.9742464,0.001549803,0.007897965,0.002867238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407786,0.00001182539,0.02963999,0.00004535288,0.000287087,0.0003452622,0.00001632575,0.0006313737,0.02824422],"genre_scores_gemma":[0.992183,0.000004466282,0.00591461,0.0011476,0.0004124554,0.00006495339,0.00001827551,0.000170646,0.00008397643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05593492,"threshold_uncertainty_score":0.9998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422859958410606,"score_gpt":0.2049837687589325,"score_spread":0.1907551691748265,"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."}}