{"id":"W3121998015","doi":"10.1115/ipc2020-9655","title":"Pipeline Plain Dent Fatigue Assessment: Shedding Light on the API 579 Level 2 Fatigue Assessment Methodology","year":2020,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Pipeline transport; Structural engineering; Structural integrity; Pipeline (software); Stress (linguistics); Failure assessment; Deformation (meteorology); Engineering; Excavation; Integrity management; Fatigue testing; Forensic engineering; Stress concentration; Geotechnical engineering; Fracture mechanics; Mechanical engineering; Materials science; Composite material","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":[0.00320568,0.0009615147,0.0004851829,0.002830521,0.0005455486,0.001824637,0.001500856,0.000994548,0.005517552],"category_scores_gemma":[0.005092621,0.000450028,0.0005965903,0.0008159769,0.0005102421,0.001186129,0.001457911,0.000771752,0.002738717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275129,"about_ca_system_score_gemma":0.001759083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00798716,"about_ca_topic_score_gemma":0.01118657,"domain_scores_codex":[0.9969006,0.0004824683,0.000219879,0.0002448048,0.002032296,0.0001200248],"domain_scores_gemma":[0.9956928,0.0003610756,0.000419447,0.0003691288,0.003036341,0.0001211579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004781556,0.000383276,0.04059482,0.0008091358,0.00008669405,0.0003383683,0.0004372185,0.1385878,0.06521341,0.01147738,0.02416555,0.7174283],"study_design_scores_gemma":[0.0000852687,0.001584394,0.08500239,0.000561338,0.00008557639,0.000580861,0.0004923529,0.7856341,0.05201396,0.00933124,0.06441505,0.0002134566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1463228,0.0006150923,0.7668778,0.0007859746,0.0001219357,0.001850438,0.002877817,0.005789044,0.07475924],"genre_scores_gemma":[0.6835556,0.0004069086,0.2915029,0.0003185567,0.000056824,0.001011206,0.003645952,0.0004887418,0.01901336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00798716,"threshold_uncertainty_score":0.01845801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.160923771740101,"score_gpt":0.3593618033826761,"score_spread":0.1984380316425751,"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."}}