{"id":"W3036370552","doi":"10.1007/s12540-020-00777-8","title":"Constitutive Analysis of the Mean Flow Stress of a Nb- and N-Bearing Austenitic Stainless Steel Biomaterial","year":2020,"lang":"en","type":"article","venue":"Metals and Materials International","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa e ao Desenvolvimento Científico e Tecnológico do Maranhão; New Brunswick Innovation Foundation","keywords":"Materials science; Flow stress; Solid mechanics; Softening; Work hardening; Metallurgy; Strain rate; Austenitic stainless steel; Austenite; Grain size; Composite material; Recrystallization (geology); Constitutive equation; Microstructure; Finite element method; Structural engineering; Corrosion","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003740099,0.0002177893,0.0002778542,0.0005122059,0.0003461358,0.0006749472,0.0004709452,0.0007919653,0.001002973],"category_scores_gemma":[0.0006118288,0.0002398755,0.0003975885,0.000299668,0.0008621382,0.0004089621,0.0003040321,0.0002855471,0.000141214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000973094,"about_ca_system_score_gemma":0.001021549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003117325,"about_ca_topic_score_gemma":0.00274198,"domain_scores_codex":[0.9998808,0.00001975193,0.000005758774,0.00003212488,0.0000426222,0.00001892139],"domain_scores_gemma":[0.9998206,0.00006273386,0.00004139612,0.00001749779,0.00004106022,0.00001683523],"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":[0.0001447939,0.0002025011,0.004032474,0.0001731735,0.0000547503,0.000514656,0.0003816321,0.3261487,0.5994194,0.05087496,0.0007033367,0.01734976],"study_design_scores_gemma":[0.00001357869,0.0001249974,0.00671229,0.00001953344,0.00002673757,0.0002937171,0.0001206892,0.9472029,0.03916428,0.003799125,0.002487587,0.00003458905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891613,0.0009650414,0.08968921,0.0005646341,0.0000762697,0.00006730399,0.0002034526,0.0001326867,0.01913999],"genre_scores_gemma":[0.9929101,0.0002243099,0.003125584,0.00004296761,0.000009616268,0.00002727405,0.00004528336,0.00001672955,0.003598116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003117325,"threshold_uncertainty_score":0.007060289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502432651271843,"score_gpt":0.2164441484641979,"score_spread":0.2014198219514794,"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."}}