{"id":"W2552934438","doi":"10.1115/ipc2016-64390","title":"Evaluation of Back-Beveled and Counterbore-Tapered Joints in Energy Pipelines","year":2016,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring and Maintenance; Materials and Joining","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; TransCanada (Canada); Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Research and Development Corporation of Newfoundland and Labrador","keywords":"Bevel; Welding; Structural engineering; Finite element method; Stress (linguistics); Materials science; Bending; Engineering; Mechanics; Mechanical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085226,0.0006044645,0.000470424,0.0007500967,0.0002308201,0.0006897522,0.0007715792,0.0006409168,0.0009265936],"category_scores_gemma":[0.002259742,0.0003424722,0.0003501761,0.0005287839,0.0004305263,0.0006232131,0.000520952,0.0002721546,0.0002315919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847374,"about_ca_system_score_gemma":0.0003924359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194869,"about_ca_topic_score_gemma":0.002307945,"domain_scores_codex":[0.999145,0.000172741,0.00006687131,0.0001200976,0.0004270212,0.00006824566],"domain_scores_gemma":[0.9986424,0.0004964153,0.0003343245,0.0001169673,0.0003340542,0.00007587523],"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":[0.001494634,0.000427374,0.02610011,0.0009067419,0.00005448125,0.0007262027,0.0004746796,0.24567,0.6513698,0.0005183605,0.0002604669,0.07199711],"study_design_scores_gemma":[0.00004556589,0.008480535,0.04452537,0.00009102559,0.0001302307,0.0006023357,0.0007508216,0.4104534,0.5325233,0.0002346671,0.002093521,0.00006923905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851778,0.0002447965,0.01359008,0.00002006982,0.000007823611,0.00002745339,0.00007992017,0.0001207023,0.0007312409],"genre_scores_gemma":[0.9949969,0.0001079522,0.004466499,0.000003221638,0.00000111816,0.00001000588,0.00004737391,0.00001490712,0.0003520918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001194869,"threshold_uncertainty_score":0.005739272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922469376100995,"score_gpt":0.242370469023587,"score_spread":0.223145775262577,"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."}}