{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000829669,0.0002179376,0.0003985665,0.00005730559,0.0003301292,0.0002219189,0.000235513,0.0000877833,0.0002842614],"category_scores_gemma":[0.0001064204,0.0001451645,0.0001079701,0.0001526192,0.0003681761,0.0002670931,0.0001650662,0.0001883417,0.000007830439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001281347,"about_ca_system_score_gemma":0.0001920751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004145757,"about_ca_topic_score_gemma":0.00006234743,"domain_scores_codex":[0.9981177,0.0002633306,0.000682765,0.0002722833,0.0003369605,0.0003268951],"domain_scores_gemma":[0.9983485,0.0001993659,0.0004526302,0.0002886752,0.0005195217,0.0001913566],"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":[0.00009799746,0.0001110445,0.0005392839,0.0001035305,0.000008533455,0.0001302788,0.000272521,0.00001409337,0.9936746,0.001765971,0.0002215025,0.003060581],"study_design_scores_gemma":[0.003950764,0.001956218,0.2234439,0.00009702949,0.0008242519,0.002838018,0.007605991,0.000359256,0.7330468,0.001190264,0.02375014,0.0009372894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939564,0.001583275,0.00008700151,0.003100842,0.0003392881,0.0001955925,0.00005741337,0.00001389969,0.000666329],"genre_scores_gemma":[0.9944705,0.0005326142,0.001740757,0.0002388959,0.0002419525,0.00001132831,0.000003134761,0.0000216815,0.002739117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2606278,"threshold_uncertainty_score":0.5919636,"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."}}