{"id":"W2709003022","doi":"10.1364/oe.25.015313","title":"Fiber optic humidity sensor using water vapor condensation","year":2017,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Materials science; Water vapor; Refractive index; Humidity; Surface plasmon resonance; Optics; Relative humidity; Fiber optic sensor; Optical fiber; Condensation; Dielectric; Fiber; Moisture; Optoelectronics; Nanotechnology; Composite material; Chemistry; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.00009749506,0.0002272806,0.0002252073,0.00005173543,0.0003101594,0.0001880403,0.0002864938,0.0001463355,0.0002320283],"category_scores_gemma":[0.00006273675,0.000207576,0.00006293456,0.00001913995,0.0001065669,0.0003869256,0.00009869677,0.000201819,0.0002805418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008705878,"about_ca_system_score_gemma":0.000006920712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001000661,"about_ca_topic_score_gemma":0.000001024805,"domain_scores_codex":[0.9988702,0.00001419683,0.0002433382,0.0002416974,0.0002036468,0.000426937],"domain_scores_gemma":[0.9987924,0.00004454151,0.00006199546,0.0009061318,0.00008590131,0.000109098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001469733,0.00002614292,0.0001075972,0.0001140091,0.00008447414,0.0001037781,0.0008822615,0.5134638,0.4841138,0.0003723669,0.0001224759,0.0005945728],"study_design_scores_gemma":[0.0007473162,0.00002196035,0.0003140775,0.00007176709,0.00008162442,0.00006792353,0.00009901114,0.4537237,0.5390706,0.0006314978,0.004469987,0.0007004677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984153,0.00002981195,0.006498687,0.00003023438,0.0007625433,0.0001914197,0.0000148384,0.0002359205,0.008083533],"genre_scores_gemma":[0.8986076,0.00001177652,0.09918419,0.000011681,0.0002652745,0.000009260598,0.00001246565,0.00008874165,0.001809045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09268551,"threshold_uncertainty_score":0.8464705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03570254434569664,"score_gpt":0.2698024433516566,"score_spread":0.23409989900596,"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."}}