{"id":"W2053383427","doi":"10.1115/ipc2012-90236","title":"Predicting the Failure Pressure of SCC Flaws in Gas Transmission Pipelines","year":2012,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spectra Energy (Canada); TransCanada (Canada)","funders":"","keywords":"Failure assessment; Pipeline transport; Hydrostatic test; Hydrostatic pressure; Categorization; Structural engineering; Reliability engineering; Computer science; Engineering; Forensic engineering; Fracture mechanics; Mechanical engineering; Artificial intelligence","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":[0.001134438,0.0006948572,0.0004866043,0.0019893,0.000206039,0.0006288232,0.0006970137,0.0007479867,0.0006083968],"category_scores_gemma":[0.002948835,0.0002695403,0.0006796502,0.001172681,0.0002177108,0.0006979995,0.0003744612,0.0004413011,0.0005261901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005430458,"about_ca_system_score_gemma":0.0004093194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104647,"about_ca_topic_score_gemma":0.009075002,"domain_scores_codex":[0.9995866,0.00006176071,0.00003353558,0.0001068448,0.0001797074,0.00003157757],"domain_scores_gemma":[0.9984419,0.0007914845,0.0002204638,0.0001291976,0.0003726447,0.00004437171],"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":[0.000695899,0.0003772674,0.3907241,0.0004521272,0.0001297813,0.0003635841,0.0003485039,0.482126,0.03448796,0.0003994802,0.004188953,0.08570641],"study_design_scores_gemma":[0.00001518657,0.0002552385,0.1560717,0.00002021672,0.0000221989,0.0001497684,0.0001087456,0.8279796,0.01442599,0.0001429554,0.000775938,0.00003244715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887433,0.0001483896,0.005841627,0.00004228437,0.000007076219,0.00002023489,0.003058891,0.001716174,0.000421948],"genre_scores_gemma":[0.9789938,0.0001855335,0.01051288,0.000008789322,0.000007388728,0.00002437635,0.009900713,0.00008060342,0.000285945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01104647,"threshold_uncertainty_score":0.02196437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008268717401901876,"score_gpt":0.2146776047489498,"score_spread":0.2064088873470479,"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."}}