{"id":"W2245455166","doi":"10.4028/www.scientific.net/amm.782.113","title":"Effect of Sintering Temperature on Microstructure and Mechanical Properties of Nanocrystalline Aluminum 5083 Alloy","year":2015,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Materials science; Microstructure; Nanocrystalline material; Spark plasma sintering; Sintering; Grain size; Alloy; Compressive strength; Metallurgy; Composite material; Aluminium; Nanotechnology","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":[0.0001103866,0.0001667378,0.0002374011,0.000155635,0.0001371543,0.0001867616,0.0001111409,0.0001690903,0.0009401974],"category_scores_gemma":[0.0002221699,0.0002223538,0.0001643198,0.0002312525,0.0001490942,0.0001347553,0.00009119714,0.000166678,0.0001721267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002666062,"about_ca_system_score_gemma":0.0001908265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002088346,"about_ca_topic_score_gemma":0.006621209,"domain_scores_codex":[0.9998993,0.000005008901,0.00001014096,0.00002653783,0.00003889382,0.00002017485],"domain_scores_gemma":[0.9998233,0.00003314156,0.00005732468,0.00001670142,0.00005161679,0.00001794556],"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":[0.0001016876,0.000006882545,0.0008190806,0.0000433016,0.000006808806,0.00006836091,0.00003712743,0.0002717707,0.9977161,0.00002354105,0.00003517898,0.0008701303],"study_design_scores_gemma":[0.000009086586,0.000211298,0.01992228,0.000004814563,0.00002312119,0.00006730117,0.00006194082,0.0013088,0.977892,0.00001391036,0.0004782421,0.000007274816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990705,0.0002388422,0.0001743949,0.000009456449,0.000005630867,0.000003167768,0.0000780696,0.00001320375,0.000406866],"genre_scores_gemma":[0.9991633,0.0001466519,0.0002660882,0.000007888701,0.000001751334,0.000004582127,0.00007098302,0.000009531585,0.0003292304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002088346,"threshold_uncertainty_score":0.004152417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008513225128668943,"score_gpt":0.1888195819227115,"score_spread":0.1803063567940425,"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."}}