{"id":"W2900355731","doi":"10.1115/ipc2018-78600","title":"Simulating In-Service Welding of Hot-Tap Branches to Quantify the Effect of Geometry on Level of Restraint","year":2018,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Welding; Finite element method; Structural engineering; Fillet (mechanics); Pipeline transport; Fillet weld; Engineering; Mechanical engineering; Materials science","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":[0.0001942056,0.0003475974,0.0003002752,0.0002500134,0.0002680485,0.0004158379,0.0006773724,0.0006234507,0.004532294],"category_scores_gemma":[0.0004845457,0.0002343038,0.0003751595,0.0003360044,0.0002599643,0.0002266193,0.0002338491,0.0004104273,0.0002796425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005868993,"about_ca_system_score_gemma":0.0007287602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01041726,"about_ca_topic_score_gemma":0.0129105,"domain_scores_codex":[0.9999279,0.00001291383,0.000003375699,0.00001050869,0.00002291346,0.00002244691],"domain_scores_gemma":[0.9995996,0.0002360752,0.0000415078,0.0000361073,0.00005667587,0.00002999018],"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":[0.0001551936,0.0001785888,0.002764471,0.00006521995,0.00001161427,0.0001099911,0.00009840333,0.9746575,0.01728768,0.0005076447,0.0001843107,0.003979424],"study_design_scores_gemma":[0.00001803707,0.0002850966,0.002626285,0.000005871723,0.00001138772,0.00002230625,0.00007928973,0.987775,0.008496024,0.000155798,0.0005176226,0.000007250319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866425,0.00002359767,0.007780206,0.00002040816,0.00001061772,0.00005889347,0.0003105542,0.0001234868,0.005029735],"genre_scores_gemma":[0.9927753,0.00003359583,0.00504149,0.000005800143,0.000001222109,0.00004177119,0.0001732648,0.0000271457,0.001900408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01041726,"threshold_uncertainty_score":0.02071321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0550141210515106,"score_gpt":0.3192341932892392,"score_spread":0.2642200722377286,"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."}}