{"id":"W4405708254","doi":"10.1007/s11665-024-10564-w","title":"Comparative Analyses of Microstructure and Assessment of Wrought Mg AZ31 in Casting Forms","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Windsor","funders":"","keywords":"Materials science; Ultimate tensile strength; Microstructure; Intermetallic; Alloy; Composite material; Tensile testing; Metallurgy; Eutectic system; Strain hardening exponent; Toughness; Fracture toughness","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":[0.0001493986,0.00008876176,0.0001653783,0.0003686385,0.000284159,0.0003700741,0.000222002,0.0001925147,0.00264705],"category_scores_gemma":[0.0003271492,0.0001435511,0.0001203113,0.0003405804,0.0001856779,0.0001620314,0.0001200343,0.0001484188,0.0002666611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947025,"about_ca_system_score_gemma":0.0002818669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005670228,"about_ca_topic_score_gemma":0.01293578,"domain_scores_codex":[0.999889,0.000004602072,0.000005824804,0.0000168591,0.00006571154,0.00001795952],"domain_scores_gemma":[0.9997707,0.00002835337,0.00004689379,0.00002269239,0.0001150001,0.00001642266],"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":[0.0002459055,0.00001961775,0.003720581,0.00005867718,0.000005761691,0.0001523376,0.0002013526,0.0008006616,0.9860178,0.0003068983,0.00009705502,0.008373396],"study_design_scores_gemma":[0.00001152518,0.0002731895,0.1468893,0.00001164245,0.00003009922,0.0003020863,0.00032873,0.003378849,0.8449309,0.0000866472,0.00374355,0.00001341762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942964,0.000232241,0.001061742,0.000008635724,0.000004065726,0.00001202579,0.0002837891,0.00004651434,0.004054684],"genre_scores_gemma":[0.9951071,0.000114348,0.001198642,0.000004303679,0.000001672556,0.000005283488,0.0002092539,0.00002568145,0.003333837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005670228,"threshold_uncertainty_score":0.01127446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03349202211998116,"score_gpt":0.3129478395838724,"score_spread":0.2794558174638913,"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."}}