{"id":"W2890768910","doi":"10.1016/j.corsci.2018.09.002","title":"Influence of nitrogen on corrosion behaviour of high nitrogen martensitic stainless steels manufactured by pressurized metallurgy","year":2018,"lang":"en","type":"article","venue":"Corrosion Science","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":176,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Ministère de la Santé et des Services sociaux","keywords":"Corrosion; Metallurgy; Materials science; Nitrogen; Microstructure; Martensite; Precipitation; Martensitic stainless steel; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002308909,0.0004463065,0.0008462533,0.0004220965,0.0005440239,0.0001294352,0.001914707,0.0001742371,0.0009717059],"category_scores_gemma":[0.0003727253,0.0003711818,0.0001825503,0.001110732,0.002662184,0.0007739388,0.0006406989,0.0001929616,0.0002181129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000957954,"about_ca_system_score_gemma":0.0002815869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001534734,"about_ca_topic_score_gemma":0.000008046165,"domain_scores_codex":[0.9941144,0.0002900138,0.001180854,0.001117327,0.002446653,0.0008507456],"domain_scores_gemma":[0.9957952,0.0001934874,0.0009327089,0.001328987,0.001389155,0.0003604109],"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":[0.0002491738,0.0003099076,0.005194744,0.00002675757,0.000001475116,0.000005893602,0.000224696,0.0002605025,0.9928145,0.0002360318,0.0003777499,0.0002985049],"study_design_scores_gemma":[0.0008654051,0.0007807782,0.002529698,0.0001558023,0.0001195062,0.00001303983,0.0001368135,0.0001401797,0.9937929,0.0009100313,0.0001704025,0.0003854719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964653,0.00009074464,0.001445706,0.00003653972,0.0007535513,0.0007064758,0.0002605821,0.00008871571,0.0001524466],"genre_scores_gemma":[0.9981562,0.00002355626,0.001162663,0.0002155712,0.00004468573,0.00005076605,0.00002429634,0.00003695927,0.0002853211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002665046,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297732222725495,"score_gpt":0.2691148959512281,"score_spread":0.2561375737239731,"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."}}