{"id":"W3107013289","doi":"10.1364/fio.2020.jw6b.12","title":"Refractive index sensor using hollow core anti resonance fiber","year":2020,"lang":"en","type":"article","venue":"Frontiers in Optics / Laser Science","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Hôpital du Sacré-Cœur de Montréal","funders":"","keywords":"Refractive index; Materials science; Resonance (particle physics); Core (optical fiber); Optics; Optical fiber; Normalized frequency (unit); Graded-index fiber; Step-index profile; Fiber optic sensor; Photonic-crystal fiber; Wavelength; Optoelectronics; Fiber; Physics; Phase noise","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":[0.000203224,0.0002478552,0.0003197293,0.0002060623,0.0001296372,0.00007336291,0.0005344761,0.0001091625,0.00001449234],"category_scores_gemma":[0.0003202795,0.0002728661,0.00004536659,0.001788598,0.000502227,0.0007025665,0.0001151965,0.0004505495,0.00003242803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128746,"about_ca_system_score_gemma":0.00009827406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004951138,"about_ca_topic_score_gemma":0.000001203755,"domain_scores_codex":[0.9979941,0.00001478434,0.0003031925,0.0005381972,0.0005064587,0.0006432996],"domain_scores_gemma":[0.9991465,0.0000508787,0.00006433784,0.0003913757,0.0001026024,0.0002443323],"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":[0.00003600787,0.00002745005,0.01341047,0.00003888988,0.00001463482,0.0001608512,0.001647808,0.9718254,0.007800233,0.0000584609,0.001204126,0.003775688],"study_design_scores_gemma":[0.0003871901,0.00003377945,0.002584849,0.00005159473,0.000008051516,0.000009783726,0.0007680626,0.9831418,0.009441742,0.0001410743,0.003045959,0.0003860873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085827,0.0003459403,0.08626744,0.0001407744,0.001364556,0.0002787822,0.00002245692,0.0002339046,0.002763387],"genre_scores_gemma":[0.6728912,0.00007353941,0.3265328,0.0001958887,0.00009164998,0.000004537642,0.000001435856,0.00004865689,0.000160235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2402654,"threshold_uncertainty_score":0.9999723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331080406208887,"score_gpt":0.2492104632692492,"score_spread":0.2258996592071603,"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."}}