{"id":"W3164839849","doi":"10.5006/3774","title":"Assessment of the Local Mechano-Electrochemical Effect on Pipeline Defects by 2D and 3D Finite Element Models","year":2021,"lang":"en","type":"article","venue":"CORROSION","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Corrosion; Materials science; Finite element method; Anode; Internal pressure; Electrochemistry; Pipeline (software); Metallurgy; Pipeline transport; Stress (linguistics); Structural engineering; Composite material; Chemistry; Electrode; Engineering; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002840823,0.0001461971,0.000197924,0.00002371666,0.0001187874,0.00003067568,0.0001033209,0.00008158191,0.0001870855],"category_scores_gemma":[0.00004472459,0.00009708726,0.00007011943,0.0001191171,0.00005705122,0.00007321735,0.0001747402,0.0001378301,0.000007539724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007974667,"about_ca_system_score_gemma":0.00004928199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005038012,"about_ca_topic_score_gemma":0.000004663352,"domain_scores_codex":[0.9986863,0.0001599148,0.0002334254,0.0003298085,0.0003926439,0.0001978992],"domain_scores_gemma":[0.9993326,0.0001438001,0.00009261876,0.0002881371,0.00007782871,0.00006500696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003819486,0.000116748,0.0001875175,0.0000264293,8.097431e-8,0.000001436638,0.00001804231,0.0002581132,0.997408,0.0001931981,0.0008233688,0.0009288584],"study_design_scores_gemma":[0.0005134969,0.0004033161,0.00007185469,0.0001452126,0.00003051336,0.000005656452,0.00001432581,0.02941668,0.9690077,0.0001790331,0.0001083027,0.0001038606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6904082,0.0000991342,0.3087608,0.00005975555,0.0002507643,0.0001929075,0.00002419903,0.00002274003,0.0001814756],"genre_scores_gemma":[0.9992751,0.00003304523,0.0002378359,0.000211454,0.00002179288,0.00002956814,0.00004499304,0.00001203677,0.0001341623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3088669,"threshold_uncertainty_score":0.3959104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104793010853818,"score_gpt":0.2589452193278848,"score_spread":0.248465918242503,"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."}}