{"id":"W2010575512","doi":"10.1115/ipc2006-10060","title":"SCC Inspection and Mitigation Program on Suncor OSPL Pipeline: Field Data Trends and Observations","year":2006,"lang":"en","type":"article","venue":"Volume 2: Integrity Management; Poster Session; Student Paper Competition","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Suncor Energy (Canada)","funders":"Suncor Energy Incorporated","keywords":"Pipeline transport; Stress corrosion cracking; Cracking; Excavation; Pipeline (software); Corrosion; Petroleum engineering; Crude oil; Environmental science; Engineering; Petroleum; Forensic engineering; Mining engineering; Geotechnical engineering; Geology; Marine engineering; Materials science; Mechanical engineering; Metallurgy; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002554713,0.0005073037,0.0004611511,0.002554253,0.0008882814,0.0004702137,0.0008738688,0.0003562156,0.001519881],"category_scores_gemma":[0.002774881,0.0003698155,0.0002180657,0.001825257,0.0004679764,0.0005689934,0.0005037481,0.0005447005,0.0006177371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003803016,"about_ca_system_score_gemma":0.005150133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1756461,"about_ca_topic_score_gemma":0.3382596,"domain_scores_codex":[0.9975755,0.0001727747,0.0001018796,0.0003636308,0.001635786,0.0001504416],"domain_scores_gemma":[0.9877499,0.0007621322,0.001291846,0.0005443717,0.009155635,0.0004960665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007631807,0.001655797,0.5628172,0.0008448212,0.000088695,0.001367483,0.003761074,0.005636626,0.04820386,0.0002128896,0.02534494,0.3493035],"study_design_scores_gemma":[0.00005605466,0.001821059,0.9429094,0.0001229502,0.00003891107,0.000273331,0.002414339,0.006642789,0.02282202,0.00004691284,0.022794,0.00005834668],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693717,0.0002874397,0.005875354,0.0003715749,0.00004044758,0.001337446,0.00584464,0.001920416,0.01495105],"genre_scores_gemma":[0.9547754,0.0006559055,0.01692184,0.0002338623,0.00003393452,0.0004139313,0.01248009,0.0001223128,0.01436274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756461,"threshold_uncertainty_score":0.3492474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976192136766053,"score_gpt":0.3061282959035531,"score_spread":0.2763663745358926,"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."}}