{"id":"W2912671716","doi":"10.3390/ma12040585","title":"Quantification of Temperature Dependence of Hydrogen Embrittlement in Pipeline Steel","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China University of Petroleum, Beijing; China Postdoctoral Science Foundation","keywords":"Hydrogen embrittlement; Embrittlement; Materials science; Pipeline (software); Hydrogen; Metallurgy; Corrosion; Engineering; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002300384,0.0002737739,0.0001641919,0.000253635,0.0001183304,0.0001605619,0.00025072,0.000261041,0.0005297632],"category_scores_gemma":[0.0004336542,0.0002236627,0.0001618195,0.0002156221,0.0002440205,0.000277309,0.000121197,0.0002748252,0.0001921013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314252,"about_ca_system_score_gemma":0.0001208508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897493,"about_ca_topic_score_gemma":0.002342654,"domain_scores_codex":[0.9998077,0.00001748208,0.000009824504,0.00006204832,0.00007646667,0.00002651359],"domain_scores_gemma":[0.999698,0.00007185928,0.00006436616,0.00002824379,0.000123731,0.00001377311],"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":[0.00005349705,0.000005948846,0.0005717592,0.00003168377,0.00000353814,0.00003482398,0.00005285428,0.0007027267,0.9974789,0.00004657591,0.0000213164,0.000996297],"study_design_scores_gemma":[0.000001996198,0.0001430569,0.007602356,0.000003174892,0.000004461391,0.0000323131,0.0000382917,0.009095675,0.9827735,0.00002368416,0.000272222,0.000009310565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934482,0.000293827,0.00512317,0.00002577158,0.000006917995,0.00001466877,0.0002235107,0.00007286292,0.0007910698],"genre_scores_gemma":[0.997645,0.0001708098,0.001644865,0.00000557337,0.00000239816,0.000008898824,0.0001075625,0.0000111794,0.0004037771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001897493,"threshold_uncertainty_score":0.003772914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814011273197177,"score_gpt":0.271681569452186,"score_spread":0.2535414567202143,"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."}}