{"id":"W2942723650","doi":"10.1364/oe.27.013895","title":"The ROGUE: a novel, noise-generated random grating","year":2019,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Reflectometry; Materials science; Fiber Bragg grating; Grating; Backscatter (email); Optical fiber; Rayleigh scattering; Optoelectronics; Physics; Time domain; Telecommunications; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171711,0.0001934886,0.0002406098,0.0001911568,0.0001031372,0.0003551299,0.0006637052,0.0003772279,0.0002850007],"category_scores_gemma":[0.0002678988,0.0001691381,0.0001492928,0.0001020316,0.0003724014,0.0003699347,0.000291342,0.0002313688,0.0001816248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207529,"about_ca_system_score_gemma":0.0001210433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000134218,"about_ca_topic_score_gemma":0.0003011651,"domain_scores_codex":[0.9997409,0.00002948443,0.00001306808,0.00009068457,0.00009636066,0.00002940132],"domain_scores_gemma":[0.9997476,0.00004296806,0.00007889917,0.00006050789,0.00003888454,0.00003116655],"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":[0.00004053427,0.00002975391,0.0005776163,0.00002512377,0.000007093272,0.0001082978,0.00002829092,0.0003573084,0.9910656,0.00131571,0.0001222175,0.006322472],"study_design_scores_gemma":[0.00002483137,0.0004130223,0.002510565,0.000006651328,0.00001986981,0.001042097,0.000021403,0.01590975,0.9751786,0.0003142125,0.004527136,0.00003185864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917616,0.001223073,0.1016469,0.0003328283,0.0001588876,0.00005541637,0.0001620708,0.000673333,0.003985797],"genre_scores_gemma":[0.9560266,0.000218373,0.04117296,0.0001665642,0.00004323795,0.00002553169,0.00008774648,0.00003470995,0.002224397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006637052,"threshold_uncertainty_score":0.001505733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004452499847745,"score_gpt":0.2139514345627954,"score_spread":0.203906909564318,"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."}}