{"id":"W2374902271","doi":"","title":"Effect of nitrogen on microstructure and properties of martensitic stainless steel 00Cr13Ni4Mo","year":2012,"lang":"en","type":"article","venue":"","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Materials science; Lath; Tempering; Martensite; Austenite; Microstructure; Metallurgy; Toughness; Pitting corrosion; Martensitic stainless steel; Ductility (Earth science); Precipitation; Quenching (fluorescence); Corrosion; Composite material; Creep","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":[0.0001865323,0.0002263521,0.0002121593,0.0001147422,0.0001378283,0.0001605385,0.0002622696,0.0002220947,0.0008064562],"category_scores_gemma":[0.0003511948,0.0001791207,0.0001406383,0.0001088753,0.0001880045,0.0001906802,0.0001078907,0.000155472,0.0001168382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003385326,"about_ca_system_score_gemma":0.000205551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824164,"about_ca_topic_score_gemma":0.008474776,"domain_scores_codex":[0.9998655,0.00002421392,0.00000998865,0.00003696254,0.00003678152,0.00002647914],"domain_scores_gemma":[0.9998411,0.00003587135,0.00004309746,0.00001074531,0.00004286774,0.00002623146],"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":[0.0004554057,0.00001886198,0.0005726219,0.00006090696,0.000008498372,0.00005493032,0.00002830671,0.0001787528,0.9970522,0.00003153773,0.00002461261,0.001513257],"study_design_scores_gemma":[0.00001168121,0.000472781,0.007608111,0.000004182083,0.00001757824,0.00005388177,0.00002017054,0.0005550284,0.990429,0.00001353578,0.0008089251,0.000005150736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982626,0.0004546256,0.0002787707,0.00001690105,0.00001021459,0.000008335907,0.00008073958,0.00001894917,0.0008687834],"genre_scores_gemma":[0.9978355,0.0002706263,0.0006154245,0.00002530677,0.000005369472,0.000006703377,0.000118119,0.00001456915,0.001108372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002824164,"threshold_uncertainty_score":0.005615473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283080025195507,"score_gpt":0.2464089733486033,"score_spread":0.2335781730966483,"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."}}