{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000242986,0.0004701557,0.0003896644,0.0003311728,0.0002145876,0.0004130207,0.0007465154,0.001604839,0.0009955363],"category_scores_gemma":[0.0008607567,0.0004784208,0.0005880587,0.0002316838,0.0005573292,0.0004900439,0.0003961773,0.0004542585,0.0001365039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005908365,"about_ca_system_score_gemma":0.0006243986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01550985,"about_ca_topic_score_gemma":0.01171811,"domain_scores_codex":[0.9998552,0.00002745548,0.000007448769,0.00003812215,0.00004172637,0.00003016562],"domain_scores_gemma":[0.9996775,0.0001552376,0.00006465398,0.00002199487,0.0000606069,0.00001986332],"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":[0.00001187106,0.00001448069,0.000876954,0.00001472085,0.000004723562,0.00006608762,0.00002277687,0.9920012,0.00560595,0.0003732653,0.00001906624,0.0009889217],"study_design_scores_gemma":[0.000003678759,0.00001973496,0.0004397944,0.000001260968,0.00000196747,0.0000154612,0.000008524599,0.9984996,0.0007844483,0.0001290035,0.00009361302,0.000002911237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9333059,0.0001508312,0.06257305,0.0000646757,0.00001210432,0.00005361078,0.0001931235,0.000138443,0.003508296],"genre_scores_gemma":[0.9909271,0.0001047271,0.006570326,0.000007200671,0.000003401732,0.00003684183,0.00007830097,0.00002306541,0.002249089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01550985,"threshold_uncertainty_score":0.03083915,"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."}}