{"id":"W2034894518","doi":"10.1115/ipc2004-0711","title":"Application of Brillouin Fiber Optic Sensors to Monitor Pipeline Integrity","year":2004,"lang":"en","type":"article","venue":"2004 International Pipeline Conference, Volumes 1, 2, and 3","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Pipeline transport; Pipeline (software); Optical fiber; Fiber optic sensor; Optical fiber cable; Brillouin zone; Leak; Intrusion; Acoustics; Geology; Materials science; Optics; Environmental science; Computer science; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001054037,0.0002522787,0.0002967116,0.0002166774,0.00003689736,0.00003875732,0.0002517668,0.0001305111,0.000160484],"category_scores_gemma":[0.0001244298,0.0002617638,0.00006983623,0.0002021222,0.00009077477,0.0001736978,0.00005742089,0.0002583802,0.0001990223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293239,"about_ca_system_score_gemma":0.00003389539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605252,"about_ca_topic_score_gemma":0.00004506769,"domain_scores_codex":[0.9986037,0.00001214364,0.0005071352,0.0003241442,0.0003050714,0.0002478167],"domain_scores_gemma":[0.9990376,0.00004752316,0.00008286803,0.0002584831,0.0004141164,0.0001594247],"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":[0.000230019,0.0003684149,0.002608714,0.0002565604,0.0002649006,0.00003131947,0.001739094,0.700552,0.0235959,0.02236569,0.006577992,0.2414094],"study_design_scores_gemma":[0.002918622,0.0001502145,0.006090244,0.0003550155,0.00008831276,0.0001102609,0.0005959698,0.9003671,0.01950056,0.006645821,0.06201364,0.001164206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7292739,0.0002794069,0.2617469,0.0007958706,0.0006672093,0.000415585,0.0001414607,0.0002498411,0.006429859],"genre_scores_gemma":[0.9721439,0.0001032344,0.02419143,0.00005964539,0.0003551426,0.00002722131,0.00007423771,0.00003897518,0.003006195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.24287,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152734266971149,"score_gpt":0.2512359174711875,"score_spread":0.239708574801476,"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."}}