{"id":"W4377141534","doi":"10.1016/j.jmst.2023.03.057","title":"Achieving superior strength-ductility synergy in a heterostructured magnesium alloy via low-temperature extrusion and low-temperature annealing","year":2023,"lang":"en","type":"article","venue":"Journal of Material Science and Technology","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Annealing (glass); Extrusion; Microstructure; Alloy; Grain size; Magnesium alloy; Lamellar structure; Metallurgy; Grain boundary; Dynamic recrystallization; Composite material; Elongation; Ultimate tensile strength; Hot working","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001188331,0.0002129419,0.0003867292,0.0005552245,0.0004552517,0.0003749568,0.0005447011,0.0002712102,0.0001071204],"category_scores_gemma":[0.0002136433,0.0001553639,0.00002981349,0.001285184,0.0008414379,0.0006150836,0.0004159078,0.0002903178,0.000004469749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006067635,"about_ca_system_score_gemma":0.000157662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005903526,"about_ca_topic_score_gemma":0.00004348627,"domain_scores_codex":[0.9980266,0.00006068251,0.000551082,0.0004647541,0.0003961782,0.0005007096],"domain_scores_gemma":[0.9990528,0.00002484783,0.0002249249,0.0002769681,0.0002825186,0.0001379173],"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":[0.00007755743,0.00002527749,0.0005650424,0.00008369207,0.000001353913,0.00003844658,0.000172116,0.00001110492,0.9974613,0.0001709058,0.00002781172,0.001365436],"study_design_scores_gemma":[0.0004973788,0.0002476598,0.01395574,0.00009917513,0.00001165998,0.000422983,0.0006766696,0.0001118128,0.9829668,0.0004992828,0.0002848355,0.0002259885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959537,0.0001805993,8.336737e-7,0.00277034,0.0008089356,0.0001777616,0.00001962782,0.00007877633,0.000009411629],"genre_scores_gemma":[0.9991306,0.0001539991,0.0004019461,0.00007129058,0.0001836874,0.00001301886,0.000002519278,0.00001354342,0.00002938829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01449444,"threshold_uncertainty_score":0.6335557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005502596957621076,"score_gpt":0.2223157764690085,"score_spread":0.2168131795113875,"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."}}