{"id":"W2164924606","doi":"10.1364/oedi.2014.oth2c.1","title":"Microwave Photonics for High Resolution and High Speed Interrogation of Fiber Bragg Grating Sensors","year":2014,"lang":"en","type":"article","venue":"International Photonics and Optoelectronics Meetings","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fiber Bragg grating; Citation; Photonics; Interrogation; Computer science; Optoelectronics; High resolution; Optical fiber; Telecommunications; Materials science; World Wide Web; Political science; Remote sensing","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":[0.0005900759,0.0003312808,0.0002521108,0.0008956285,0.00044519,0.0007303408,0.0003981626,0.000589502,0.01511808],"category_scores_gemma":[0.0007584268,0.0003964287,0.0001810212,0.0005828256,0.0003331714,0.001407818,0.0006532858,0.0007183114,0.004042289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004823067,"about_ca_system_score_gemma":0.0002765331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00025396,"about_ca_topic_score_gemma":0.0007289279,"domain_scores_codex":[0.9996268,0.00005770583,0.00001363614,0.00003339636,0.0002352727,0.00003325944],"domain_scores_gemma":[0.9997887,0.00008510006,0.00002591532,0.00002861447,0.00005205095,0.00001961425],"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":[0.0002510825,0.0001287171,0.0005683748,0.0003958096,0.00002967142,0.0001510056,0.0001107158,0.001549617,0.6489445,0.0241261,0.04820553,0.2755388],"study_design_scores_gemma":[0.00008968009,0.0002514253,0.001790402,0.00008904418,0.00003421849,0.0007009754,0.0001018521,0.03200455,0.7292528,0.01100423,0.2246138,0.00006701086],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1047061,0.03744201,0.6397241,0.01116664,0.004486381,0.0005251355,0.001704494,0.00829877,0.1919462],"genre_scores_gemma":[0.4762965,0.01836528,0.4030513,0.001932474,0.00151184,0.0003206386,0.001082149,0.0007983858,0.0966413],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01511808,"threshold_uncertainty_score":0.05057508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004775991001108214,"score_gpt":0.209323452984337,"score_spread":0.2045474619832288,"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."}}