{"id":"W1437352647","doi":"10.1016/j.matdes.2015.08.023","title":"Hot deformation and processing map of an as-extruded Mg–Zn–Mn–Y alloy containing I and W phases","year":2015,"lang":"en","type":"article","venue":"Materials & Design","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"AUTO21 Network of Centres of Excellence; Division of Administrative Services; Changjiang Scholar Program of Chinese Ministry of Education; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology of the People's Republic of China; Chongqing Science and Technology Commission; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; National Natural Science Foundation of China; California Office of Traffic Safety","keywords":"Materials science; Alloy; Deformation (meteorology); Metallurgy; Extrusion; Manganese; Crystallography; Composite material","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":[0.00007696718,0.0002170718,0.0001828017,0.0005138144,0.0005188054,0.0002172909,0.0003896676,0.0006663898,0.004619016],"category_scores_gemma":[0.0001296296,0.000165921,0.0002641975,0.0004384347,0.0005117831,0.0003170496,0.0001370042,0.0003447081,0.0002992906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003153166,"about_ca_system_score_gemma":0.0002302207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004399654,"about_ca_topic_score_gemma":0.006146802,"domain_scores_codex":[0.9999223,0.00000380445,0.000002956941,0.0000199223,0.00003180685,0.00001923539],"domain_scores_gemma":[0.9998825,0.00002310627,0.00002336905,0.00001619466,0.00003657666,0.00001827176],"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":[0.001678616,0.00008014119,0.006081696,0.0001127016,0.00002090422,0.00143717,0.000346994,0.006441657,0.972769,0.0005954125,0.001287353,0.009148407],"study_design_scores_gemma":[0.0000494867,0.0007682209,0.258821,0.00003369718,0.00004349716,0.001041109,0.0008521436,0.03593688,0.6965652,0.0003758506,0.005449685,0.00006316378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904113,0.0001491424,0.001820133,0.0001491893,0.0000296552,0.0000179895,0.0009150231,0.0001978889,0.006309757],"genre_scores_gemma":[0.9962648,0.00003444867,0.0009365531,0.00001658977,0.000004890937,0.000006169601,0.0003042673,0.000024443,0.002407848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004619016,"threshold_uncertainty_score":0.01545209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0546906708093911,"score_gpt":0.276371645434457,"score_spread":0.2216809746250659,"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."}}