{"id":"W2232017622","doi":"10.1364/oe.20.020459","title":"Continuous wavelet transform for non-stationary vibration detection with phase-OTDR","year":2012,"lang":"en","type":"article","venue":"Optics Express","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wavelet transform; Wavelet; Harmonic wavelet transform; Optical time-domain reflectometer; Second-generation wavelet transform; Continuous wavelet transform; Stationary wavelet transform; Discrete wavelet transform; Vibration; Wavelet packet decomposition; Acoustics; Optics; Computer science; Materials science; Physics; Fiber optic sensor; Optical fiber; Artificial intelligence; Polarization-maintaining optical fiber","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":[0.000840476,0.0005642806,0.0004518959,0.0005778295,0.0001585216,0.000577786,0.0007829301,0.0006646164,0.001179817],"category_scores_gemma":[0.00184703,0.000235555,0.0005092761,0.001074133,0.0004995265,0.001071549,0.000450181,0.0008993513,0.0005610877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212652,"about_ca_system_score_gemma":0.0003140886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003169617,"about_ca_topic_score_gemma":0.0002794221,"domain_scores_codex":[0.9993222,0.0001579394,0.00004011829,0.0001121742,0.0003323204,0.00003517102],"domain_scores_gemma":[0.9994528,0.0002227662,0.00006822971,0.00008724192,0.000146474,0.00002256363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002539831,0.0001401309,0.001048576,0.0004596815,0.00008625018,0.0003760026,0.0001187277,0.04519935,0.2638962,0.05098069,0.002070259,0.6353701],"study_design_scores_gemma":[0.0000396382,0.000291623,0.001033935,0.00002247158,0.00003685769,0.0003785007,0.00002108569,0.9272831,0.05373112,0.008800509,0.00831336,0.00004784756],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00482876,0.0002981316,0.9942732,0.00006477013,0.000048863,0.00001292733,0.00001756496,0.0001008003,0.0003549864],"genre_scores_gemma":[0.129792,0.001028749,0.8674497,0.00009521202,0.0001486196,0.0000761476,0.0001480616,0.0000816211,0.0011798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001179817,"threshold_uncertainty_score":0.004444897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010181004611477,"score_gpt":0.2353709617498917,"score_spread":0.2252691517037769,"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."}}