{"id":"W2155567276","doi":"10.1109/icsens.2005.1597897","title":"Simultaneously Interrogation of Multi Fiber Bragg Grating Sensors by an AWG Based Demultiplexer","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fiber Bragg grating; Demultiplexer; Materials science; Arrayed waveguide grating; Fiber optic sensor; Optics; Aerospace; Interferometry; Optical fiber; Multiplexing; Optoelectronics; Electronic engineering; Computer science; Wavelength-division multiplexing; Engineering; Physics; Aerospace 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":[0.0002714086,0.0002745622,0.0002836034,0.0004299112,0.0001234719,0.000271916,0.0002921525,0.0003179456,0.0003438408],"category_scores_gemma":[0.0003691188,0.000225723,0.0001091397,0.0002444001,0.0002916024,0.0005973949,0.0003868177,0.0002613535,0.0001397945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003483176,"about_ca_system_score_gemma":0.0001414404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000365567,"about_ca_topic_score_gemma":0.0007942715,"domain_scores_codex":[0.9996519,0.00004328412,0.00001871742,0.00009652379,0.0001513337,0.00003828248],"domain_scores_gemma":[0.9997745,0.00007225952,0.00004940037,0.0000324555,0.00004743842,0.00002404062],"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":[0.00008629459,0.00002148114,0.0004460748,0.00001756836,0.000005738646,0.00003134565,0.00002888884,0.0004110339,0.9856695,0.000255058,0.0001054288,0.01292165],"study_design_scores_gemma":[0.000009803815,0.00008045849,0.001309824,0.000002649509,0.000009480007,0.0001149294,0.00001420934,0.01739918,0.9794645,0.0001575681,0.001426501,0.00001084784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949217,0.0006276799,0.1004538,0.0002309976,0.0001105606,0.00005282137,0.0001407278,0.0009361331,0.002525534],"genre_scores_gemma":[0.913879,0.0001557394,0.08350834,0.0001090667,0.00002742782,0.00002448344,0.00005950115,0.00002402982,0.002212374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004299112,"threshold_uncertainty_score":0.002527237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008729178427084629,"score_gpt":0.2248673565191282,"score_spread":0.2161381780920436,"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."}}