{"id":"W3196026781","doi":"10.1016/j.jma.2021.06.010","title":"The strain rate sensitive and anisotropic behavior of rare-earth magnesium alloy ZEK100 sheet","year":2021,"lang":"en","type":"article","venue":"Journal of Magnesium and Alloys","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Government of Ontario","keywords":"Materials science; Strain rate; Formability; Anisotropy; Viscoplasticity; Deformation (meteorology); Plasticity; Rare earth; Texture (cosmology); Magnesium alloy; Magnesium; Alloy; Composite material; Work (physics); Metallurgy; Structural engineering; Thermodynamics; Finite element method; Constitutive equation; Optics","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":[0.00006507141,0.000154521,0.00009817614,0.000249553,0.0001003261,0.0002351717,0.0002085122,0.0002462103,0.0005567672],"category_scores_gemma":[0.0001714886,0.0001436277,0.0001330291,0.0001555715,0.0002047408,0.000134559,0.00008453901,0.0001063482,0.0001047658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355218,"about_ca_system_score_gemma":0.00008297219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008855652,"about_ca_topic_score_gemma":0.001091099,"domain_scores_codex":[0.9999437,0.000004890326,0.000002940362,0.000009978644,0.00002950828,0.000008812642],"domain_scores_gemma":[0.9999391,0.00001574668,0.00001755159,0.00001171033,0.00001116332,0.000004768262],"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":[0.000104825,0.00001450646,0.002361569,0.00006097312,0.000009005104,0.000229907,0.00007413293,0.01383136,0.9789975,0.0004444743,0.0001102559,0.003761473],"study_design_scores_gemma":[0.00001934593,0.0003010635,0.03766745,0.0000173973,0.00002043727,0.0003250866,0.0001089159,0.1243181,0.835234,0.0003209272,0.001636456,0.00003083191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997965,0.0001348639,0.0006804474,0.00002029473,0.000003912104,0.000003163379,0.00005776201,0.00003750944,0.001097086],"genre_scores_gemma":[0.9991241,0.00007504912,0.0003555911,0.000003908618,7.977181e-7,0.000002493374,0.00004321763,0.00000580113,0.000389009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008855652,"threshold_uncertainty_score":0.001862586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222635914316948,"score_gpt":0.2291549952103351,"score_spread":0.2169286360671656,"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."}}