{"id":"W3090454962","doi":"10.1016/j.jma.2020.02.023","title":"Unloading behaviors of the rare-earth magnesium alloy ZE10 sheet","year":2020,"lang":"en","type":"article","venue":"Journal of Magnesium and Alloys","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Project 211; Natural Sciences and Engineering Research Council of Canada; Shanghai Jiao Tong University; National Natural Science Foundation of China; University of Michigan; Ministry of Education of the People's Republic of China; University of Sydney","keywords":"Materials science; Crystal twinning; Slip (aerodynamics); Composite material; Ultimate tensile strength; Anisotropy; Magnesium; Magnesium alloy; Plasticity; Deformation mechanism; Alloy; Metallurgy; Microstructure","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005011935,0.0002257409,0.0004182328,0.00006140726,0.0002105091,0.0001086846,0.000705479,0.00009373958,0.00141202],"category_scores_gemma":[0.0001070091,0.0001435932,0.0001981896,0.0002754918,0.00024127,0.0003210715,0.0002388703,0.0002456678,0.00003222988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322817,"about_ca_system_score_gemma":0.0001313939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005432718,"about_ca_topic_score_gemma":0.0000145475,"domain_scores_codex":[0.9979987,0.0001264895,0.000791071,0.0002561211,0.0005177726,0.0003098232],"domain_scores_gemma":[0.9985073,0.00006198523,0.0006258513,0.000291316,0.0002518863,0.0002617245],"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":[0.00009525583,0.00009178711,0.002951566,0.0002090374,0.000004462725,0.00001398597,0.0007066145,0.00008697598,0.9934052,0.0005472673,0.0012454,0.000642405],"study_design_scores_gemma":[0.003951823,0.002470215,0.06039081,0.0001234715,0.0007567478,0.0006189323,0.00272931,0.0008580128,0.8710984,0.00041591,0.05540179,0.001184602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883767,0.0006229841,0.00007464274,0.008580253,0.0004606931,0.0002335889,0.00002252869,0.0000245088,0.001604135],"genre_scores_gemma":[0.9968795,0.00003114618,0.001028914,0.0006697165,0.0004004845,0.000007260368,8.461644e-7,0.00002584304,0.0009563589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1223069,"threshold_uncertainty_score":0.9995008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01694655742727724,"score_gpt":0.2202602864642599,"score_spread":0.2033137290369827,"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."}}