{"id":"W2082144043","doi":"10.1016/j.ijplas.2014.07.005","title":"Investigation of deformation dynamics in a wrought magnesium alloy","year":2014,"lang":"en","type":"article","venue":"International Journal of Plasticity","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Oak Ridge National Laboratory; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Office of Fossil Energy; National Science Foundation","keywords":"Materials science; Crystal twinning; Deformation mechanism; Deformation (meteorology); Ultimate tensile strength; Neutron diffraction; Dislocation; Composite material; Magnesium alloy; Viscoplasticity; Metallurgy; Crystallite; Alloy; Crystallography; Structural engineering; Microstructure; Crystal structure; Constitutive equation; Finite element method","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":[0.00007587234,0.0001250717,0.0002590347,0.0002817841,0.0003247302,0.0002807637,0.0003977883,0.0003483526,0.001415399],"category_scores_gemma":[0.000301426,0.0001384773,0.0001626985,0.0002841788,0.0003135561,0.0002240862,0.0001462481,0.0001481806,0.000171487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003011223,"about_ca_system_score_gemma":0.0001954098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228051,"about_ca_topic_score_gemma":0.002107022,"domain_scores_codex":[0.999935,0.000005180946,0.000002952408,0.00001482279,0.00002736087,0.00001458469],"domain_scores_gemma":[0.9999028,0.00002569736,0.00002230321,0.00001334156,0.00002375539,0.00001207774],"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":[0.000666334,0.00008471841,0.008350937,0.00007630073,0.0000247699,0.001080131,0.0003068106,0.008463638,0.9725585,0.0006766381,0.0001672905,0.007543863],"study_design_scores_gemma":[0.00006463478,0.001262249,0.1555062,0.00002658154,0.00004924776,0.001174731,0.0007087233,0.2622283,0.5743422,0.0005540765,0.004029633,0.00005342119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982944,0.00007189909,0.000516318,0.00002717508,0.0000040865,0.000006212821,0.00004946573,0.00002650494,0.00100411],"genre_scores_gemma":[0.9989791,0.00002603347,0.0003276094,0.000004418214,0.000001515629,0.000001980585,0.00004194152,0.000005711229,0.0006117188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002228051,"threshold_uncertainty_score":0.004734993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267869577864448,"score_gpt":0.2284723179813809,"score_spread":0.2157936222027364,"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."}}