{"id":"W3213127184","doi":"10.1109/jlt.2021.3128593","title":"Tension and Torsion Sensing With a Double-Taper Mach-Zehnder Interferometer","year":2021,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interferometry; Torsion (gastropod); Optics; Mach–Zehnder interferometer; Fixture; Materials science; Optical fiber; Acoustics; Physics; 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":[0.00007096667,0.0001549236,0.0003160083,0.0003798321,0.00003206744,0.00001928854,0.00007187006,0.0001972894,0.00002663848],"category_scores_gemma":[0.00002939653,0.0001165342,0.00004188965,0.000331898,0.00007810379,0.0001413864,0.0000579818,0.000469363,0.000005967694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007464812,"about_ca_system_score_gemma":0.00001739623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.856724e-7,"about_ca_topic_score_gemma":0.000003973861,"domain_scores_codex":[0.9991891,0.0000107679,0.0003114014,0.0001364235,0.0001407834,0.0002115739],"domain_scores_gemma":[0.9993811,0.00003846181,0.0001001386,0.0001973839,0.0002196779,0.00006328363],"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":[0.0002052857,0.00004123185,0.001039459,0.00006739316,0.0003076238,0.00283696,0.0004328652,0.001197301,0.9752653,0.0005934339,0.000677531,0.01733562],"study_design_scores_gemma":[0.003722678,0.0007393116,0.0007700203,0.000644177,0.0001779282,0.03813735,0.001257676,0.005221114,0.9305121,0.002098966,0.01615691,0.0005617352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838591,0.001163173,0.01301608,0.001024568,0.0002899418,0.00004798999,4.496796e-7,0.0001261474,0.0004725277],"genre_scores_gemma":[0.9295493,0.000165388,0.07001285,0.00005998387,0.00006413648,3.138553e-7,4.354917e-7,0.00003746925,0.0001101043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05699677,"threshold_uncertainty_score":0.4752128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837635936392248,"score_gpt":0.2101236651444446,"score_spread":0.2017473057805221,"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."}}