{"id":"W4414954168","doi":"10.1115/pvp2025-151963","title":"Data-Driven Approach to Assessing the Tensile Strain Capacity of Pipelines With Two Different Girth Welds","year":2025,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Natural Resources Canada","funders":"","keywords":"Welding; Girth (graph theory); Overfitting; Ultimate tensile strength; Pipeline transport; Feature (linguistics); Regression analysis; Arc (geometry)","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":[0.001305026,0.0008392248,0.0005214277,0.001848011,0.0002195823,0.0006837776,0.0009702112,0.0009230527,0.0006927536],"category_scores_gemma":[0.00464453,0.000437932,0.000675735,0.0008594839,0.0003822713,0.0006707045,0.0003622464,0.0008228124,0.0002670153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584757,"about_ca_system_score_gemma":0.000596403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007970926,"about_ca_topic_score_gemma":0.00810277,"domain_scores_codex":[0.9995322,0.0001190134,0.00003741124,0.0001408459,0.000136214,0.00003438225],"domain_scores_gemma":[0.9974253,0.001342222,0.000287381,0.0001598303,0.0007171438,0.00006813899],"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":[0.0001597801,0.0002642403,0.01697695,0.00009176994,0.00007717183,0.0001318905,0.00007674512,0.9292063,0.01140212,0.0005874792,0.0003316443,0.04069381],"study_design_scores_gemma":[0.000001228088,0.00002185463,0.001853493,0.000002078927,0.000003059866,0.000008191907,0.000007695613,0.9957266,0.00218268,0.0001374429,0.00005002211,0.000005688569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6452731,0.0001871781,0.3502772,0.000207158,0.00002709336,0.0001376403,0.00106023,0.001680059,0.001150275],"genre_scores_gemma":[0.9663535,0.00003365474,0.03252607,0.00001908162,0.000007371071,0.00007847082,0.0005725886,0.00002922408,0.0003799796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007970926,"threshold_uncertainty_score":0.01584905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03804333345730448,"score_gpt":0.2819518148123681,"score_spread":0.2439084813550636,"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."}}