{"id":"W2637338944","doi":"10.1364/fio.2005.jtuc36","title":"Double-Sensor Multiplexed Reflectometric Fiber-Optic FMCW Displacement Sensor","year":2005,"lang":"en","type":"article","venue":"Frontiers in Optics","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Photon Etc (Canada)","funders":"","keywords":"Fiber optic sensor; Optical fiber; Multiplexing; Fiber optic splitter; Optics; Interference (communication); SIGNAL (programming language); Dynamic range; Homodyne detection; Displacement (psychology); Interferometry; Computer science; Electronic engineering; Physics; Telecommunications; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053963,0.001354957,0.001000401,0.00109532,0.0003724488,0.0008726099,0.001550825,0.001219768,0.002702023],"category_scores_gemma":[0.001178023,0.0006633622,0.0002961832,0.0005176663,0.0006075742,0.001572013,0.0007474825,0.0008954931,0.001274012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837767,"about_ca_system_score_gemma":0.0003585105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002841046,"about_ca_topic_score_gemma":0.0006002511,"domain_scores_codex":[0.9978601,0.0002252502,0.00008465222,0.0007085262,0.0009939222,0.0001274034],"domain_scores_gemma":[0.9992015,0.000185634,0.000164507,0.0001028442,0.0002373801,0.0001081359],"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":[0.000311488,0.00014805,0.000542619,0.00017193,0.00003110355,0.0002011039,0.0000765993,0.0007426727,0.9530939,0.001741072,0.001189263,0.04175006],"study_design_scores_gemma":[0.00005666657,0.0005129419,0.0005901411,0.000009344417,0.00003464738,0.0009657181,0.00002320177,0.02138508,0.9680194,0.0003624705,0.007965712,0.00007477085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2763924,0.003539146,0.7014645,0.0008349168,0.00162498,0.0008811607,0.000905149,0.005164964,0.009192817],"genre_scores_gemma":[0.4103759,0.0008600843,0.5788087,0.0004142113,0.0002619422,0.0002568182,0.000319368,0.00008073994,0.008622183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002702023,"threshold_uncertainty_score":0.009039164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151857218083261,"score_gpt":0.252683633193229,"score_spread":0.2374979113849029,"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."}}