{"id":"W3088551219","doi":"10.1364/ao.400156","title":"Practical interrogation scheme for the abrupt taper Mach–Zehnder interferometer refractive index sensor","year":2020,"lang":"en","type":"article","venue":"Applied Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Interferometry; Photodetector; Waveform; Refractive index; Mach–Zehnder interferometer; Broadband; Materials science; SIGNAL (programming language); Sensitivity (control systems); Optical fiber; Fiber optic sensor; Optoelectronics; Physics; Computer science; Telecommunications; Electronic engineering; Engineering","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":[0.00008666386,0.0002408708,0.0002151219,0.00003898231,0.00006890092,0.00005662448,0.00016784,0.0001552024,0.00007904312],"category_scores_gemma":[0.0001266896,0.0001962249,0.000074621,0.0001812705,0.0000773728,0.00015458,0.00006870826,0.0005035706,0.0001879196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165542,"about_ca_system_score_gemma":0.00002005543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.878299e-7,"about_ca_topic_score_gemma":0.000001653,"domain_scores_codex":[0.998904,0.0000100514,0.0002921637,0.0002801852,0.0001906996,0.0003228768],"domain_scores_gemma":[0.9987807,0.000675333,0.00006423033,0.0002904324,0.00007475611,0.0001144966],"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":[0.00363236,0.0005019936,0.0001778694,0.001161802,0.004627941,0.00008521348,0.03885835,0.3929813,0.3548164,0.1066572,0.04320087,0.0532988],"study_design_scores_gemma":[0.001329866,0.0001254386,0.0001415158,0.00001981011,0.0001420679,0.0000199594,0.006967742,0.9374089,0.02474222,0.0005723239,0.02796355,0.0005665516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04311476,0.00003954631,0.9465711,0.003030667,0.0003730407,0.0009258025,0.00001864912,0.0004162173,0.005510296],"genre_scores_gemma":[0.8424121,0.00001873024,0.1560271,0.0009094503,0.0003003488,0.0001316987,0.00001537601,0.000096525,0.00008863945],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7992973,"threshold_uncertainty_score":0.800182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855596440933376,"score_gpt":0.2837293983608758,"score_spread":0.245173433951542,"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."}}