{"id":"W2032476719","doi":"10.1109/jsen.2013.2271254","title":"A Detailed Evaluation of the Correlation-Based Method Used for Estimation of the Brillouin Frequency Shift in BOTDA Sensors","year":2013,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Initialization; Estimator; Estimation theory; Noise (video); Algorithm; Frequency domain; Multitaper; Computer science; Least-squares function approximation; Mathematics; Statistics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254361,0.0001904386,0.0002958735,0.0001681667,0.0000940551,0.00002428225,0.0002320656,0.0001361467,0.00008358964],"category_scores_gemma":[0.0009390307,0.0001309181,0.0002176754,0.0004526366,0.00007379171,0.0002129528,0.000007982911,0.0003643158,0.000005589079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560759,"about_ca_system_score_gemma":0.000123071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003417216,"about_ca_topic_score_gemma":0.00006969204,"domain_scores_codex":[0.9977185,0.0004175705,0.000784397,0.0001428634,0.0006792428,0.0002574917],"domain_scores_gemma":[0.9979758,0.0007671507,0.0004396538,0.0003608743,0.0004024038,0.00005410077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008259765,0.00001608728,0.003208337,0.00003086725,0.00003193407,2.373555e-7,0.000776169,0.9722862,0.02220381,0.00003410278,0.00006606592,0.001337882],"study_design_scores_gemma":[0.00133159,0.00002151295,0.03998388,0.0001480602,0.00009982735,0.0000184694,0.0001328295,0.907917,0.04571937,0.004491232,0.000005858747,0.0001303408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8942782,0.00004923885,0.1034264,0.0002353558,0.0008372855,0.001030644,0.00001058239,0.00002392155,0.0001083593],"genre_scores_gemma":[0.9623271,0.000002510886,0.03749859,0.00001996173,0.00005702964,0.00002873212,0.000001498582,0.00004258801,0.00002199136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06804889,"threshold_uncertainty_score":0.5338684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207077003176047,"score_gpt":0.2864200767882333,"score_spread":0.2643493067564728,"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."}}