{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003353823,0.0005185926,0.0002835882,0.0004856543,0.000247405,0.0006500884,0.0009480552,0.0005039565,0.008986202],"category_scores_gemma":[0.000411459,0.0004251328,0.0003704108,0.0004790805,0.0003409898,0.0008168353,0.0005622965,0.000614025,0.004180306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006972344,"about_ca_system_score_gemma":0.0004308092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000468615,"about_ca_topic_score_gemma":0.0006312792,"domain_scores_codex":[0.9995736,0.00002294527,0.00001892628,0.00006081435,0.0002982277,0.00002533065],"domain_scores_gemma":[0.9997789,0.00002126424,0.00004247961,0.00004405401,0.0001012535,0.00001207755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006053964,0.00006058619,0.0003545155,0.0005337906,0.00003104028,0.000187981,0.0003151303,0.021138,0.660919,0.06674363,0.005645774,0.2440102],"study_design_scores_gemma":[0.00006173061,0.0008059783,0.001774028,0.0001872633,0.00004792049,0.001277369,0.00009477197,0.1397453,0.3506929,0.02698083,0.4782244,0.0001076196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01600705,0.002063985,0.914107,0.0002972351,0.0002461438,0.0001536274,0.0001146642,0.002050556,0.06495976],"genre_scores_gemma":[0.3437581,0.004292324,0.5622401,0.0003132417,0.0001381645,0.0003327382,0.0003468661,0.0006169303,0.08796156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008986202,"threshold_uncertainty_score":0.03006184,"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."}}