{"id":"W4411674292","doi":"10.1016/j.yofte.2025.104327","title":"High-sensitivity MMI optical fiber humidity sensor based on SMCS","year":2025,"lang":"en","type":"article","venue":"Optical Fiber Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto Mississauga; Ministry of Higher Education, Malaysia; Ministry of Higher Education","keywords":"Sensitivity (control systems); Materials science; Humidity; Fiber optic sensor; Optical fiber; Fiber; Optoelectronics; Composite material; Optics; Electronic engineering; Engineering; Physics; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003674946,0.0004033923,0.0003959997,0.0003855753,0.0002492789,0.0003275559,0.0004018969,0.0003938453,0.0006617053],"category_scores_gemma":[0.0003038444,0.000229635,0.000140936,0.0003346762,0.0002468602,0.000545973,0.0002618443,0.000266832,0.0003731048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859178,"about_ca_system_score_gemma":0.0001763659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006365927,"about_ca_topic_score_gemma":0.001756805,"domain_scores_codex":[0.9996375,0.00004128344,0.00001515311,0.00007426555,0.0001960986,0.00003563317],"domain_scores_gemma":[0.9997397,0.00005063622,0.00005093486,0.00002430591,0.0001102943,0.00002418811],"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":[0.00006171777,0.00001086652,0.0007046731,0.00004842542,0.000005520822,0.00003354084,0.00002723533,0.00005365719,0.9915665,0.0001611961,0.0001577901,0.007168774],"study_design_scores_gemma":[0.000002994822,0.00007739408,0.002020553,0.000002835324,0.00001309123,0.0001086417,0.00001955534,0.00260313,0.9927009,0.00002424015,0.002421388,0.000005246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380767,0.002808121,0.04967456,0.0002805787,0.0002808164,0.00004528755,0.0002447715,0.0006975339,0.007891694],"genre_scores_gemma":[0.9734069,0.000542192,0.02183309,0.00007208216,0.00008301188,0.00001591689,0.0001173163,0.00002322443,0.003906386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006617053,"threshold_uncertainty_score":0.002213597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006897086752816448,"score_gpt":0.2299240501665167,"score_spread":0.2230269634137002,"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."}}