{"id":"W4396640649","doi":"10.1016/j.matchar.2024.113957","title":"Improved creep strength of 10% Cr steels with low N and high B content via increasing quenching temperature","year":2024,"lang":"en","type":"article","venue":"Materials Characterization","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Russian Science Foundation; Belgorod National Research University","keywords":"Materials science; Creep; Ultimate tensile strength; Carbide; Quenching (fluorescence); Martensite; Metallurgy; Lath; Volume fraction; Dissolution; Particle (ecology); Composite material; Microstructure; Chemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002665943,0.0003139036,0.0002397061,0.0002705836,0.0002221233,0.0001838223,0.0003574488,0.0004618803,0.001097575],"category_scores_gemma":[0.000390147,0.0002329608,0.000228535,0.0002180353,0.0002263383,0.0002497797,0.0001266514,0.0002545587,0.0003200388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003540765,"about_ca_system_score_gemma":0.0003681572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634584,"about_ca_topic_score_gemma":0.009477388,"domain_scores_codex":[0.9997681,0.00001642001,0.0000150897,0.00005185852,0.000110893,0.00003770723],"domain_scores_gemma":[0.9996741,0.0000272702,0.00008843706,0.00002393408,0.0001570603,0.00002924249],"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":[0.00003772592,0.000003807251,0.0001174664,0.00001649252,0.00000201304,0.00001202116,0.00001091017,0.00006488799,0.9993425,0.0000185464,0.00002213718,0.0003515244],"study_design_scores_gemma":[0.000006956053,0.0001724275,0.003515057,0.000002921159,0.00001032688,0.00003445084,0.0000132802,0.0008057514,0.994856,0.000009204312,0.0005678313,0.000005769367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956969,0.0002767048,0.002749756,0.0000372865,0.00002130209,0.00001398304,0.00014338,0.0001034522,0.0009573175],"genre_scores_gemma":[0.9957299,0.00008252283,0.002339405,0.00002106733,0.000004091003,0.000008792216,0.0001485312,0.00003497697,0.001630787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002634584,"threshold_uncertainty_score":0.005238473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003830447076990698,"score_gpt":0.1700939513835592,"score_spread":0.1662635043065685,"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."}}