{"id":"W3011134939","doi":"","title":"DEVELOPMENT OF A VIBRATION-BASED HEALTH MONITORING STRATEGY FOR ONSHORE AND OFFSHORE PIPELINES","year":2013,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Submarine pipeline; Marine engineering; Environmental science; Engineering; Forensic engineering; Geology; Oceanography; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462112,0.0007358841,0.0004990342,0.0006304937,0.0003542235,0.0005094135,0.0008662947,0.0005915011,0.001195452],"category_scores_gemma":[0.0006302894,0.0002554759,0.0002474982,0.0002691474,0.0002466102,0.0008604848,0.001047942,0.0004453984,0.0003727047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003356156,"about_ca_system_score_gemma":0.0007088266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550059,"about_ca_topic_score_gemma":0.001686255,"domain_scores_codex":[0.9997634,0.00002867824,0.00001350014,0.00008134345,0.00007287673,0.00004028033],"domain_scores_gemma":[0.9997513,0.00004063915,0.00006288914,0.00001738669,0.00009844852,0.00002930678],"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":[0.0003282927,0.0003238728,0.00736738,0.0003682477,0.00005062529,0.000438406,0.000573713,0.1356658,0.314834,0.006064795,0.002645301,0.5313395],"study_design_scores_gemma":[0.0000278531,0.000706821,0.007696901,0.00004353757,0.00005730956,0.0002035978,0.0003883856,0.954539,0.03007327,0.002545739,0.003681398,0.00003625115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06975139,0.0002630073,0.9253337,0.0002302916,0.00004278096,0.0001826391,0.00006295824,0.000604487,0.003528696],"genre_scores_gemma":[0.9148454,0.0002544654,0.08163908,0.00008268919,0.00003489929,0.0001668976,0.00009575215,0.00002151334,0.002859306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9984499,"threshold_uncertainty_score":0.003999233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164261703797222,"score_gpt":0.1989357440198519,"score_spread":0.1872931269818796,"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."}}