{"id":"W2005443713","doi":"10.1117/12.905410","title":"Fiber Bragg grating sensor and waveguide grating sensor","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"O/E Land (Canada)","funders":"","keywords":"Fiber Bragg grating; PHOSFOS; Materials science; Fiber optic sensor; Optics; Grating; Waveguide; Optical fiber; Optoelectronics; Plastic optical fiber; Physics; Wavelength","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":[0.0006772723,0.0009514137,0.0008232967,0.001175678,0.0002910566,0.000523357,0.00150686,0.001427231,0.002318834],"category_scores_gemma":[0.0006943664,0.0004387044,0.0004447387,0.001247324,0.0004876862,0.001860948,0.0007183966,0.0007582397,0.001286339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005350551,"about_ca_system_score_gemma":0.0004068127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111344,"about_ca_topic_score_gemma":0.001430992,"domain_scores_codex":[0.9975827,0.0001388885,0.0000980777,0.0005332751,0.001555391,0.00009169779],"domain_scores_gemma":[0.9995905,0.00003976983,0.00006007912,0.00004995442,0.0002042841,0.00005557093],"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":[0.0002679938,0.0001073859,0.001846305,0.0009615252,0.00006136467,0.0002354534,0.0001171483,0.00144484,0.8159932,0.007556031,0.005634517,0.1657743],"study_design_scores_gemma":[0.00005815396,0.0004729063,0.006582937,0.0000841451,0.00009853023,0.002294402,0.0001098763,0.02196851,0.8780511,0.002038177,0.08809071,0.0001505206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08293591,0.03443127,0.8449534,0.001041957,0.001870899,0.0006653206,0.001854969,0.005295298,0.02695095],"genre_scores_gemma":[0.2739373,0.01243496,0.6607981,0.001337359,0.0008562881,0.0003713933,0.001472182,0.0001619314,0.0486304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002318834,"threshold_uncertainty_score":0.007757246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522282046399209,"score_gpt":0.2201671431007086,"score_spread":0.2049443226367165,"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."}}