{"id":"W1999755629","doi":"10.1179/026708301101510005","title":"Effects of strain rate and test temperature on flow behaviour and microstructural evolution in AA 8090 Al–Li alloy","year":2001,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Superplasticity; Materials science; Strain rate; Flow stress; Metallurgy; Grain Boundary Sliding; Strain hardening exponent; Deformation mechanism; Microstructure; Tensile testing; Composite material; Hardening (computing); Atmospheric temperature range; Deformation (meteorology); Lattice diffusion coefficient; Grain boundary; Ultimate tensile strength; Thermodynamics; Effective diffusion coefficient","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":[0.0003619365,0.0003687032,0.0002915607,0.0003825183,0.000193558,0.0002389442,0.0002623523,0.0003522177,0.001246855],"category_scores_gemma":[0.0007827533,0.0003463026,0.0002460529,0.0003217088,0.0003382829,0.0003297212,0.0001339941,0.0002398707,0.0001987102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003088238,"about_ca_system_score_gemma":0.0001335961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001293108,"about_ca_topic_score_gemma":0.002561469,"domain_scores_codex":[0.9997373,0.00003590027,0.00003268916,0.00005000219,0.00009007271,0.00005406118],"domain_scores_gemma":[0.9992387,0.000276839,0.0001795065,0.0001030596,0.0001353696,0.00006661711],"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":[0.0007721186,0.00005227309,0.002800275,0.00003920053,0.00001069551,0.0001113242,0.00008590844,0.0015416,0.9915501,0.00002975384,0.00002589184,0.002981048],"study_design_scores_gemma":[0.00001322566,0.000804287,0.04065656,0.00000587012,0.00002052654,0.0001281968,0.00005974182,0.004164063,0.9537962,0.00002533369,0.0003107834,0.00001518989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991478,0.0001490564,0.0003058614,0.000009922731,0.000003971101,0.000004803699,0.00006222697,0.0000212464,0.0002953009],"genre_scores_gemma":[0.9991048,0.00006202321,0.0003013072,0.00001159408,0.00000314376,0.000006004188,0.0001088043,0.00001707122,0.0003852466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001293108,"threshold_uncertainty_score":0.004171073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004284681144915869,"score_gpt":0.212411430343554,"score_spread":0.2081267491986382,"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."}}