{"id":"W4386923993","doi":"10.1038/s41529-023-00394-x","title":"Effect of nitrogen content on corrosion behavior of high-nitrogen austenitic stainless steel","year":2023,"lang":"en","type":"article","venue":"npj Materials Degradation","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Materials science; X-ray photoelectron spectroscopy; Passivation; Corrosion; Nitrogen; Austenitic stainless steel; Scanning electron microscope; Austenite; Electron backscatter diffraction; Metallurgy; Grain boundary; Grain size; Electrochemistry; Nuclear chemistry; Analytical Chemistry (journal); Chemical engineering; Microstructure; Composite material; Electrode; Layer (electronics); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001874807,0.0003047515,0.0007204375,0.0002965769,0.0001266573,0.00006879561,0.0003771106,0.0001560915,0.001349657],"category_scores_gemma":[0.0001552045,0.0002504358,0.0001333966,0.0003583848,0.0001299412,0.0002066322,0.0001424848,0.00006515735,0.0004092118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007048108,"about_ca_system_score_gemma":0.00004248755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001632209,"about_ca_topic_score_gemma":0.000005683378,"domain_scores_codex":[0.9966663,0.0006953864,0.0009799193,0.0004247683,0.0008362114,0.0003974447],"domain_scores_gemma":[0.9983359,0.0002343719,0.0005971634,0.0005182327,0.0002237776,0.00009054126],"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":[0.0004376497,0.0001454183,0.003433239,0.0001938176,0.000005729959,0.00001139609,0.00005545335,0.00002214855,0.9933159,0.000578004,0.0001139113,0.001687373],"study_design_scores_gemma":[0.001169232,0.001115774,0.001815445,0.0001418171,0.0002603474,0.000004886715,0.00009273085,0.00001232247,0.9949496,0.0002004049,0.00002155139,0.0002158891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963837,0.00002149727,0.00006562458,0.00001872521,0.001541127,0.001170978,0.0006234006,0.0001495215,0.00002538438],"genre_scores_gemma":[0.9985206,0.00002269985,0.0001788146,0.00001726439,0.00007063076,0.0003235783,0.0006056029,0.0000468868,0.0002139876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002136793,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243065413333064,"score_gpt":0.2863061320223008,"score_spread":0.2538754778889701,"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."}}