{"id":"W2146370633","doi":"10.4028/www.scientific.net/amm.660.332","title":"Effects of Temperature and Strain Rate on Commercial Aluminum Alloy AA5083","year":2014,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Ministry of Higher Education, Malaysia; Universiti Tun Hussein Onn Malaysia","keywords":"Superplasticity; Materials science; Flow stress; Strain rate; Aluminium; Alloy; Metalworking; Metallurgy; Deformation (meteorology); Atmospheric temperature range; Automotive industry; Stress (linguistics); Composite material; Engineering; Thermodynamics","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":[0.0003737299,0.0004164546,0.000306168,0.0004752415,0.0002706719,0.0003291775,0.0002955263,0.0005191923,0.001830067],"category_scores_gemma":[0.0009794805,0.0002772295,0.0003096885,0.0006165395,0.0003058646,0.000372366,0.0001397843,0.0002804216,0.0003344479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657,"about_ca_system_score_gemma":0.0001621693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702091,"about_ca_topic_score_gemma":0.00325266,"domain_scores_codex":[0.9995885,0.00004261263,0.00003908535,0.00008514211,0.0001845271,0.00005999472],"domain_scores_gemma":[0.9990678,0.000315724,0.0002183992,0.00009392839,0.0002578265,0.00004630596],"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":[0.001396746,0.0001334037,0.008569249,0.000268562,0.00003691754,0.0005132481,0.0002698215,0.009059013,0.9690148,0.0001342217,0.0002978335,0.01030612],"study_design_scores_gemma":[0.00001505854,0.00184961,0.04327871,0.0000273341,0.00006530113,0.0003174122,0.0003318397,0.01028402,0.94227,0.00004696928,0.001480491,0.000033303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977843,0.000524647,0.000328956,0.00003201023,0.00001634025,0.000006573986,0.0001695014,0.00003553962,0.001102198],"genre_scores_gemma":[0.9987479,0.0001755877,0.000340752,0.00001377786,0.000003304379,0.000005464599,0.0001205579,0.00002014297,0.0005723736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001830067,"threshold_uncertainty_score":0.006122172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004521126026204131,"score_gpt":0.1977658158874058,"score_spread":0.1932446898612017,"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."}}