{"id":"W1526427300","doi":"","title":"1 Dynamic Impact Behavior of 6061-T6 and 5083-H131 Aluminum alloys","year":2016,"lang":"en","type":"article","venue":"Gruppo Italiano Frattura Digital Repository (Gruppo Italiano Frattura)","topic":"High-Velocity Impact and Material Behavior","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adiabatic shear band; Materials science; Alloy; Aluminium; Shear (geology); Charpy impact test; Softening; Split-Hopkinson pressure bar; Metallurgy; Composite material; Strain rate; Microstructure","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002005809,0.0003140871,0.0003200562,0.0007211174,0.0003758572,0.0002703812,0.0003109895,0.0005396833,0.002669687],"category_scores_gemma":[0.0003668806,0.0002121836,0.0002311267,0.000535001,0.0003494388,0.0002341972,0.0002982364,0.0001738078,0.0004202149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216139,"about_ca_system_score_gemma":0.0001681466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003906467,"about_ca_topic_score_gemma":0.006506439,"domain_scores_codex":[0.9995986,0.00002246711,0.00002388895,0.00006422848,0.0002307325,0.00006026639],"domain_scores_gemma":[0.9997424,0.00003462306,0.00005346399,0.00002876475,0.000108095,0.00003254987],"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":[0.0005954409,0.00003531679,0.008584302,0.00006001009,0.00001793544,0.0003358711,0.0001473162,0.001445038,0.9836519,0.00008224724,0.00008956421,0.004955042],"study_design_scores_gemma":[0.00002836369,0.002488983,0.2242748,0.00002348254,0.00006109688,0.0008066123,0.0003871569,0.004605087,0.7644172,0.00009297992,0.00278299,0.00003124323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979154,0.0003007646,0.0002455507,0.000008147329,0.000003814228,0.000010573,0.0001958918,0.00001839066,0.001301378],"genre_scores_gemma":[0.9980154,0.00009067536,0.0003024412,0.000009702405,0.00000141328,0.000003658694,0.0002595284,0.000005984979,0.001311043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003906467,"threshold_uncertainty_score":0.008930981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009085164297561333,"score_gpt":0.2544868771517167,"score_spread":0.2454017128541554,"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."}}