{"id":"W1989066726","doi":"10.2495/ecor070241","title":"Modelling environmentally assisted cracking in pipeline steels","year":2007,"lang":"en","type":"article","venue":"WIT transactions on engineering sciences","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Materials science; Superposition principle; Cracking; Stress (linguistics); Pipeline (software); Pipeline transport; Stress corrosion cracking; Transgranular fracture; Corrosion; Fracture (geology); Paris' law; Natural gas; Extrapolation; Structural engineering; Metallurgy; Fracture mechanics; Environmental science; Composite material; Crack closure; Engineering; Mechanical engineering; Intergranular corrosion; Waste management","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005455599,0.0001581115,0.0001387458,0.0003046512,0.00009584457,0.00003988594,0.0001621387,0.00006531381,0.0001287579],"category_scores_gemma":[0.000008452733,0.0001612783,0.0000574181,0.000551057,0.00005829278,0.0002096041,0.000002201459,0.0002420853,0.00001966094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391775,"about_ca_system_score_gemma":0.0000101765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001929972,"about_ca_topic_score_gemma":0.00004495098,"domain_scores_codex":[0.9988778,0.000007509012,0.0002911899,0.0002393779,0.0002431252,0.0003410316],"domain_scores_gemma":[0.9995739,0.0001638212,0.00001405039,0.0001514305,0.0000074399,0.00008938991],"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":[0.000004198696,0.00001840808,0.0000928861,0.00001395445,0.000001950676,0.000003098256,0.0001296745,0.9839954,0.009033353,0.00003421685,0.000001635271,0.006671264],"study_design_scores_gemma":[0.0001777437,0.00002747676,0.0012459,0.00005463291,0.000004359608,0.000006939203,0.0001671888,0.9877257,0.009995602,0.000008488387,0.0003887897,0.0001971405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2999471,0.0000634836,0.6985039,0.00002026594,0.0002731706,0.00008151931,0.000003420078,0.0001835821,0.0009235746],"genre_scores_gemma":[0.993824,0.00003097781,0.006014968,0.00001781013,0.00002037528,0.000007879794,8.778852e-7,0.00001747099,0.00006563873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6938769,"threshold_uncertainty_score":0.6576737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019955641817123,"score_gpt":0.2206275331260347,"score_spread":0.2006718913089117,"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."}}