{"id":"W2754284282","doi":"10.1002/adem.201700502","title":"Grain Refinement through Shear Banding in Severely Plastic Deformed A206 Aluminum Alloy","year":2017,"lang":"en","type":"article","venue":"Advanced Engineering Materials","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Materials science; Microstructure; Substructure; Dynamic recrystallization; Recrystallization (geology); Grain size; Alloy; Extrusion; Ultimate tensile strength; Shear (geology); Severe plastic deformation; Composite material; Deformation bands; Vickers hardness test; Metallurgy; Shear band; Hot working; Structural engineering","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":[0.00006931199,0.0001629157,0.00017087,0.0001719599,0.0001729744,0.0002358712,0.0001650766,0.0002103982,0.000983046],"category_scores_gemma":[0.00008945206,0.0001672917,0.000160987,0.0001588701,0.0002185477,0.0001189244,0.0001198009,0.0001787552,0.000205157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665689,"about_ca_system_score_gemma":0.00009870501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007815,"about_ca_topic_score_gemma":0.002756983,"domain_scores_codex":[0.9999143,0.000005084131,0.000005078782,0.00001477004,0.00004370989,0.00001700458],"domain_scores_gemma":[0.999929,0.00000661929,0.00003193021,0.00001063887,0.00001431499,0.000007491088],"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":[0.00006871678,0.000006358273,0.00063364,0.00002160361,0.000003196299,0.000142987,0.00002463972,0.0005311254,0.9977232,0.00003132533,0.00001378842,0.0007994109],"study_design_scores_gemma":[0.000007357197,0.0003143885,0.02883966,0.000003732004,0.000009659663,0.0004232659,0.00008378558,0.00271916,0.9662766,0.00004882875,0.001264881,0.00000862274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985968,0.0001236237,0.0007253353,0.00001005987,0.000004706869,0.000004707588,0.0000439656,0.00002266522,0.0004680826],"genre_scores_gemma":[0.9981385,0.00006126732,0.0007613308,0.000009011276,0.000001614231,0.000002562609,0.00006833184,0.00001005563,0.0009471319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001007815,"threshold_uncertainty_score":0.003288686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486744363982679,"score_gpt":0.2411480859235388,"score_spread":0.2262806422837121,"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."}}