{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007512501,0.0001498819,0.0003147513,0.0001090681,0.00008403832,0.00009409114,0.00004083042,0.00009783685,0.00007391832],"category_scores_gemma":[0.000202421,0.0001030413,0.00002064003,0.0000837764,0.00008471052,0.0002622278,0.0000336639,0.00004821599,0.000001392318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000499157,"about_ca_system_score_gemma":0.00002028878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006333982,"about_ca_topic_score_gemma":0.0001187477,"domain_scores_codex":[0.9989187,0.00009538954,0.0004256674,0.0002139312,0.0001716662,0.0001746898],"domain_scores_gemma":[0.999537,0.00004539451,0.00004104253,0.0001133201,0.0002150123,0.00004824884],"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":[0.00004433897,0.00001881385,0.01128342,0.0002134832,0.0001123216,0.000001900446,0.001052413,0.003603403,0.9242446,0.0004850083,0.0001483036,0.05879193],"study_design_scores_gemma":[0.006559006,0.000272607,0.1987282,0.004749475,0.0005202945,0.0000817453,0.003851094,0.2428737,0.5348631,0.003736344,0.002281286,0.001483151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974177,0.001267869,0.0004247529,0.0001911767,0.0004845919,0.00009128456,0.00002691874,0.00002784903,0.00006785103],"genre_scores_gemma":[0.9954137,0.003326041,0.0009196277,0.000008459206,0.0001586434,0.00002659996,0.000005206139,0.00001348294,0.000128225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3893816,"threshold_uncertainty_score":0.4201902,"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."}}