{"id":"W4376868850","doi":"10.1016/j.ijmecsci.2023.108473","title":"Influence of nanoparticles on the compressive rate-sensitivity of magnesium alloys","year":2023,"lang":"en","type":"article","venue":"International Journal of Mechanical Sciences","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Materials science; Crystal twinning; Flow stress; Strain rate; Magnesium; Texture (cosmology); Grain size; Metallurgy; Composite material; Deformation (meteorology); Plasticity; Stress (linguistics); Nanoparticle; Microstructure; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003091243,0.0002362279,0.0002461211,0.0001838182,0.0002028743,0.0003985209,0.0002850113,0.0003979632,0.00143658],"category_scores_gemma":[0.00124842,0.0002104374,0.0001843698,0.0001281258,0.0002783376,0.0002623884,0.000199582,0.0002842156,0.0002419928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935807,"about_ca_system_score_gemma":0.0001760077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120988,"about_ca_topic_score_gemma":0.001501084,"domain_scores_codex":[0.9997095,0.00003692154,0.00002712715,0.00006322008,0.0001153326,0.00004776714],"domain_scores_gemma":[0.9992655,0.0003404996,0.0001339812,0.00005245869,0.0001683102,0.00003926461],"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":[0.0003858346,0.00002051443,0.0004897618,0.00009421506,0.00001251137,0.00008016552,0.00006669866,0.000576851,0.9963241,0.0001088419,0.00005932845,0.001781207],"study_design_scores_gemma":[0.000004029826,0.000123768,0.00163037,0.000004525484,0.00001036317,0.00002694843,0.00003727217,0.001725144,0.9960027,0.00001853676,0.0004097809,0.000006524613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967489,0.0008291843,0.0005059854,0.00006832578,0.00005768767,0.0000111519,0.0001048737,0.00002683493,0.00164714],"genre_scores_gemma":[0.9990776,0.0001565301,0.0002807261,0.00001839149,0.000006912639,0.000004875022,0.00003582209,0.000009353042,0.000409853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143658,"threshold_uncertainty_score":0.004805863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606456426316572,"score_gpt":0.2922278338448056,"score_spread":0.2561632695816399,"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."}}