{"id":"W2065777525","doi":"10.1115/pvp2009-77522","title":"Analysis of Surface Strains and Leakage Behavior in Composite Pipes and Vessels Using Digital Image Correlation Technique","year":2009,"lang":"en","type":"article","venue":"","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Syncrude","keywords":"Digital image correlation; Materials science; Leakage (economics); Composite material; Piping; Composite number; Pressure vessel; Filament winding; Internal pressure; Strain gauge; Hydrostatic pressure; Brittleness; Structural engineering; Mechanics; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001601749,0.00008610915,0.0001863617,0.0002201745,0.0000237303,0.000152168,0.0001328707,0.00004735906,0.000003972383],"category_scores_gemma":[0.00001209143,0.00007651615,0.00002918981,0.0004718236,0.00005867156,0.000872724,0.00005255255,0.00007258818,1.60044e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001770972,"about_ca_system_score_gemma":0.000008400196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002938534,"about_ca_topic_score_gemma":0.000007884256,"domain_scores_codex":[0.9993478,0.00001962721,0.0002068959,0.0001959333,0.0001219529,0.0001077782],"domain_scores_gemma":[0.9996904,0.00002432757,0.00005384922,0.0001394392,0.00005495097,0.00003700803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000005269701,0.0001444972,0.08428055,0.000006370462,0.00001908073,0.000004505796,0.0002127322,0.00004679467,0.9002898,0.005822702,0.000002190946,0.009165525],"study_design_scores_gemma":[0.0001783945,0.0004171017,0.6133274,0.00006432262,0.0001166163,0.00000588335,0.00004766214,0.2024029,0.181849,0.001336557,0.00000114439,0.0002530552],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6173005,0.00001502287,0.3811528,0.00003311934,0.000003977991,0.0001195606,0.000002031693,0.00004923376,0.001323774],"genre_scores_gemma":[0.9425358,0.000006491177,0.05742888,0.00001282309,0.000001372911,0.000001454517,0.000001923998,0.000001802888,0.000009443092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7184408,"threshold_uncertainty_score":0.3120238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280372317599505,"score_gpt":0.2884231159642633,"score_spread":0.2603858842043128,"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."}}