{"id":"W2016551310","doi":"10.1364/ol.40.001713","title":"Absolute near-infrared refractometry with a calibrated tilted fiber Bragg grating","year":2015,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Optics; Materials science; Fiber Bragg grating; Cladding (metalworking); Refractometry; Refractive index; Cladding mode; Total internal reflection; Wavelength; Long-period fiber grating; Infrared; Optical fiber; Grating; PHOSFOS; Graded-index fiber; Fiber optic sensor; Optoelectronics; Polarization-maintaining optical fiber; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009687078,0.000284369,0.0002565089,0.000113246,0.00006310401,0.0001299089,0.0001812472,0.0001111276,0.00004886576],"category_scores_gemma":[0.00007128725,0.0002689717,0.00004061814,0.0006319507,0.00009319132,0.0003360208,0.00003652783,0.0003692608,0.0001731486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001395913,"about_ca_system_score_gemma":0.00003222128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001077376,"about_ca_topic_score_gemma":0.000003434905,"domain_scores_codex":[0.9986286,0.00002214754,0.0002765871,0.0002600416,0.0003208306,0.0004918205],"domain_scores_gemma":[0.9990867,0.00008814912,0.00006336917,0.0004376765,0.00007512353,0.0002489787],"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":[0.00008255959,0.00003253327,0.0005761461,0.0000731835,0.0002684832,0.0004207485,0.001572041,0.9345819,0.0365016,0.00006372089,0.02405875,0.001768383],"study_design_scores_gemma":[0.003353541,0.0002016728,0.001322378,0.0001992372,0.0001250785,0.0002014596,0.0004822213,0.9402566,0.01198071,0.00008033282,0.04005039,0.00174638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753135,0.00006896722,0.01394983,0.0004728242,0.0002999138,0.0002922624,0.00001897063,0.0009187865,0.008664969],"genre_scores_gemma":[0.5128925,0.00001177835,0.4809697,0.002389824,0.0003547743,0.00006229786,0.0001130045,0.0004561887,0.002749986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4670199,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461191393608587,"score_gpt":0.2158522316881007,"score_spread":0.2012403177520149,"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."}}