{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003857901,0.0002740861,0.0002305569,0.0002847174,0.000530894,0.0005573417,0.0002946387,0.0001268638,0.0005909068],"category_scores_gemma":[0.00002274327,0.0002474985,0.00004616217,0.0003507834,0.0001004059,0.001293086,0.0005558662,0.0002660896,0.00006408032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009160113,"about_ca_system_score_gemma":0.00001020871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004144859,"about_ca_topic_score_gemma":0.0007383365,"domain_scores_codex":[0.9977265,0.0001491874,0.0005037642,0.0007857795,0.0005619401,0.0002728445],"domain_scores_gemma":[0.9989362,0.00005402358,0.0001766566,0.0006103874,0.0001373734,0.00008540905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000659646,0.008762755,0.2585755,0.0006924942,0.00003676151,0.00008137733,0.0009452711,0.00007321111,0.3756157,0.02681434,0.1090319,0.2187111],"study_design_scores_gemma":[0.001580775,0.0006864871,0.969014,0.0006018344,0.0001753513,0.00001596728,0.0007320208,0.002215225,0.00521639,0.0004354476,0.01878289,0.0005436464],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985427,0.00005194241,0.002326784,0.003822246,0.0008550374,0.0007649995,0.000134953,0.0004568856,0.006160172],"genre_scores_gemma":[0.9934447,0.0001029955,0.001685015,0.0006968774,0.0002090393,0.0001465821,0.001471849,0.00002226584,0.002220618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7104384,"threshold_uncertainty_score":0.9999977,"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."}}