{"id":"W2564387931","doi":"10.1115/ipc2016-64472","title":"Advanced Pipeline Welding Technologies for Strain-Based Design","year":2016,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ExxonMobil (Canada)","funders":"","keywords":"Welding; Pipeline transport; Toughness; Pipeline (software); Tearing; Submarine pipeline; Materials science; Mechanical engineering; Structural engineering; Engineering; Metallurgy; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000109619,0.0001098682,0.0001424646,0.00007985063,0.00004417874,0.000012549,0.0001403493,0.0001177693,0.0001381067],"category_scores_gemma":[0.0002580329,0.00006122651,0.00009699901,0.0001254426,0.00005724488,0.00007377294,0.000008115318,0.00006512161,0.00001285307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004968702,"about_ca_system_score_gemma":0.00000788755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002915073,"about_ca_topic_score_gemma":0.000009809219,"domain_scores_codex":[0.9994452,0.000006879379,0.0001550564,0.0001384334,0.00006204002,0.0001924144],"domain_scores_gemma":[0.9994319,0.0003026179,0.00001342584,0.0001812852,0.00004928241,0.00002145969],"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":[0.00004443714,0.00001244763,0.00004061925,0.00009890601,0.00007046803,0.000001228287,0.00002253329,0.2053211,0.2538772,0.002828601,0.002137952,0.5355446],"study_design_scores_gemma":[0.0005335035,0.00005189136,0.00002517309,0.00005091734,0.00002892368,8.136229e-7,0.0002485923,0.207566,0.7759709,0.01050996,0.00478237,0.0002308923],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008625468,0.000113398,0.9876278,0.001607348,0.000120869,0.0001828447,0.00002227412,0.001331441,0.0003685589],"genre_scores_gemma":[0.8988299,0.00003376588,0.1006917,0.00002834954,0.00002018233,0.00003698538,0.000002272607,0.00001220805,0.0003446028],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8902045,"threshold_uncertainty_score":0.2496745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966283028371201,"score_gpt":0.2412322104149176,"score_spread":0.2215693801312056,"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."}}