{"id":"W2008377435","doi":"10.1016/j.jmatprotec.2005.05.024","title":"Hydrogen embrittlement in 0.31% carbon steel used for petrochemical applications","year":2005,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Materials science; Hydrogen embrittlement; Ductility (Earth science); Hydrogen; Embrittlement; Petrochemical; Metallurgy; Ultimate tensile strength; Carbon fibers; Intergranular corrosion; Carbon steel; Yield (engineering); Composite material; Corrosion; Waste management; Creep; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002232169,0.00021162,0.0002212214,0.0001828444,0.0003131925,0.0001821397,0.0002643265,0.000473986,0.001292552],"category_scores_gemma":[0.0003270482,0.000144886,0.0001713626,0.0001703338,0.000164647,0.0001921221,0.00008420247,0.0002363707,0.00020955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966328,"about_ca_system_score_gemma":0.0002092385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255323,"about_ca_topic_score_gemma":0.005737317,"domain_scores_codex":[0.999835,0.00003198283,0.000008762693,0.00002345613,0.00005364249,0.0000470624],"domain_scores_gemma":[0.999863,0.00003536031,0.00001616363,0.000009567531,0.00006097664,0.00001479834],"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":[0.0004272923,0.00001926266,0.000321688,0.00003841476,0.000007987811,0.0001296674,0.00003759069,0.0002034418,0.9975169,0.00003123804,0.00005992825,0.001206708],"study_design_scores_gemma":[0.000004562441,0.0002535035,0.001950475,0.000002015411,0.000007164303,0.00004180605,0.00003796656,0.0006983542,0.9966635,0.000007145566,0.000330272,0.00000326755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985781,0.0002630847,0.0003102137,0.00002928434,0.00001093051,0.000006031511,0.00006215159,0.00001248356,0.0007276752],"genre_scores_gemma":[0.9983949,0.0001114133,0.000214531,0.000008680198,0.000003082839,0.000002029735,0.000102316,0.000005639491,0.001157473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003255323,"threshold_uncertainty_score":0.006472766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535877136324525,"score_gpt":0.2933855543563944,"score_spread":0.2780267829931491,"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."}}