{"id":"W4389650759","doi":"10.48550/arxiv.2312.05813","title":"Microstructure Thermal Stability and Superplastic Behavior of Al-6%Mg-0.12%Sc-0.10%Zr-0.10%(Yb, Er, Hf) Ultrafine-Grained Alloys","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Russian Science Foundation","keywords":"Superplasticity; Materials science; Alloy; Microstructure; Metallurgy; Deformation (meteorology); Grain size; Dynamic recrystallization; Deformation mechanism; Strain hardening exponent; Composite material; Hot working","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":[0.0001298042,0.0001657443,0.0001723995,0.0004240145,0.0001259587,0.0001907548,0.0002305465,0.000193753,0.0004592264],"category_scores_gemma":[0.000226848,0.0001596074,0.0001679854,0.0002731403,0.0001508991,0.0001393057,0.00009692833,0.0001361414,0.00009329439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003037175,"about_ca_system_score_gemma":0.0001083419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288882,"about_ca_topic_score_gemma":0.002594572,"domain_scores_codex":[0.9998572,0.00001371024,0.00001005972,0.0000329893,0.00006026118,0.00002577866],"domain_scores_gemma":[0.9998684,0.00001608965,0.00003872581,0.00001429332,0.00004584095,0.00001659089],"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":[0.00009062688,0.00000553762,0.001130407,0.00002232632,0.000007016349,0.00004668748,0.00002592174,0.0005168173,0.9969597,0.00003516267,0.000008731238,0.001151095],"study_design_scores_gemma":[0.000008951156,0.0004201667,0.05362372,0.000005224242,0.00002713752,0.000151956,0.00005797698,0.003569634,0.9414077,0.00003322366,0.0006838361,0.00001044039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990665,0.0003040274,0.00026668,0.000004331662,0.000001866571,0.000003815187,0.00008130094,0.00001395193,0.0002574979],"genre_scores_gemma":[0.9991288,0.00008338205,0.0003282581,0.000002851518,0.000001430556,0.00000316643,0.00007779292,0.000005262856,0.0003690837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002288882,"threshold_uncertainty_score":0.004551113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07165210568798155,"score_gpt":0.1951810435904954,"score_spread":0.1235289379025138,"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."}}