{"id":"W2301757669","doi":"10.1117/12.975025","title":"Continuous wavelet transform for non-stationary vibration detection with phase-OTDR","year":2012,"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":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Optical time-domain reflectometer; Wavelet transform; Vibration; Wavelet; Continuous wavelet transform; Reflectometry; Acoustics; Discrete wavelet transform; Harmonic wavelet transform; Computer science; Time domain; Materials science; Optical fiber; Fiber optic sensor; Physics; Artificial intelligence; Computer vision; Telecommunications; 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":[0.001169024,0.0006850319,0.0005331654,0.000798696,0.0001915106,0.000714715,0.0007220539,0.0009010676,0.0009589682],"category_scores_gemma":[0.002103372,0.0002748773,0.0006565853,0.001078762,0.0005413459,0.001151882,0.0004446719,0.001044118,0.000502241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002364068,"about_ca_system_score_gemma":0.0003107773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005026931,"about_ca_topic_score_gemma":0.0004507427,"domain_scores_codex":[0.9992849,0.0001657252,0.00004851906,0.0001188907,0.0003391636,0.00004290818],"domain_scores_gemma":[0.9993855,0.000271702,0.00005441731,0.00006791663,0.000199888,0.00002050874],"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":[0.0003033087,0.0001473151,0.001084539,0.0004541024,0.0001145257,0.0003755173,0.0001875612,0.04458265,0.2669028,0.04004204,0.001273547,0.6445321],"study_design_scores_gemma":[0.00003956636,0.0004150624,0.001020895,0.00003431885,0.00005659506,0.000434272,0.00003751377,0.9044368,0.07683733,0.006908737,0.009713105,0.00006572359],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005957775,0.0003201078,0.9931213,0.00006680439,0.00005900158,0.00001849356,0.00001493329,0.00009760268,0.0003439793],"genre_scores_gemma":[0.1375836,0.001117332,0.8590014,0.0001005152,0.0001543488,0.00007281604,0.0001369691,0.0000750734,0.001757925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001169024,"threshold_uncertainty_score":0.006182492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008770702364206935,"score_gpt":0.2249404725972981,"score_spread":0.2161697702330911,"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."}}