{"id":"W2070157903","doi":"10.1115/ipc2010-31158","title":"Experimental Testing and Evaluation of Crack Defects in Line Pipe","year":2010,"lang":"en","type":"article","venue":"2010 8th International Pipeline Conference, Volume 1","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); University of Waterloo","funders":"","keywords":"Pipeline transport; Materials science; Fracture (geology); Structural engineering; Cracking; Hydrostatic test; Welding; Tearing; Failure assessment; Nominal Pipe Size; Stress (linguistics); Fracture mechanics; Cylinder; Pipeline (software); Forensic engineering; Composite material; Engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005087913,0.0001440869,0.0002037647,0.0002080152,0.00002662085,0.00004161113,0.0001931262,0.000137962,0.001373381],"category_scores_gemma":[0.0007701307,0.0001359741,0.00004993758,0.0001758062,0.0001087833,0.0001879867,0.00005113996,0.0004215503,0.00002118486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000045918,"about_ca_system_score_gemma":0.00005001359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003218203,"about_ca_topic_score_gemma":0.0005832199,"domain_scores_codex":[0.9988278,0.00003260547,0.0004101664,0.0002026078,0.0003875974,0.0001391915],"domain_scores_gemma":[0.9989906,0.0001046965,0.00007493969,0.0001527245,0.000618769,0.00005830195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004207037,0.0001828723,0.09126633,0.00007904373,0.0001002241,0.00000391708,0.0005788879,0.01891128,0.8319776,0.001322241,0.001078358,0.05445717],"study_design_scores_gemma":[0.0005127806,0.00002475129,0.05088202,0.00004078238,0.00002957153,0.000008413947,0.0000838838,0.900758,0.04523795,0.002038452,0.0002377107,0.00014574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925629,0.0001509178,0.0005943818,0.0001488291,0.001152852,0.000142574,0.00002336028,0.00004806809,0.005176047],"genre_scores_gemma":[0.9973927,0.00001123109,0.001979125,0.00001801171,0.0001864347,0.00001700627,0.00003612808,0.00001155762,0.0003477649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8818467,"threshold_uncertainty_score":0.9995395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03957758033160295,"score_gpt":0.2922013857212317,"score_spread":0.2526238053896288,"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."}}