{"id":"W2008373051","doi":"10.1179/1743284712y.0000000030","title":"High speed rolling of Mg–3Al–1Zn alloy: Texture and microstructure analysis","year":2012,"lang":"en","type":"article","venue":"Materials Science and Technology","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Microstructure; Texture (cosmology); Alloy; Annealing (glass); Metallurgy; Grain growth; Grain size","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":[0.0007695869,0.000150951,0.0003699301,0.000395468,0.0003027176,0.0001247809,0.0004024069,0.0001556122,0.0004441903],"category_scores_gemma":[0.00008624113,0.000110929,0.00001873152,0.001250872,0.001456923,0.0002865844,0.0003421337,0.00005972339,0.00001420413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001650191,"about_ca_system_score_gemma":0.00004190761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001965769,"about_ca_topic_score_gemma":0.00001319948,"domain_scores_codex":[0.998636,0.00002183481,0.000298887,0.0003838404,0.0002172322,0.0004421961],"domain_scores_gemma":[0.9991735,0.00001700232,0.0001718833,0.0003807819,0.0001654363,0.00009143749],"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":[0.00000843058,0.00001764395,0.002321509,0.00002539495,0.000007698085,3.820188e-7,0.0001081388,0.000003493832,0.9872006,0.009808484,0.00002253549,0.0004757073],"study_design_scores_gemma":[0.0001389683,0.00004358215,0.00728192,0.000006184031,0.000095993,0.0000213513,0.0002261069,0.00003438417,0.9901083,0.001121658,0.0007775956,0.0001440296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997902,0.000397079,0.00004802103,0.001079554,0.0001993557,0.0001692215,0.00004859639,0.00008602387,0.00007014535],"genre_scores_gemma":[0.9969252,0.00005738888,0.002788155,0.00008364899,0.00005790866,0.00001292561,0.000003514834,0.000008246931,0.00006298746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008686827,"threshold_uncertainty_score":0.5368093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007136874500035993,"score_gpt":0.2216970890649524,"score_spread":0.2145602145649164,"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."}}