{"id":"W4388036906","doi":"10.1016/b978-0-323-96020-5.00117-5","title":"Characterization of forged magnesium alloys","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Forging; Magnesium; Metallurgy; Formability; Microstructure; Casting; Castability; Corrosion; Machinability; Specific strength; Magnesium alloy; Alloy; Composite material; Machining; Composite number","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":[0.0002593758,0.0003684595,0.000390944,0.001067055,0.0003766142,0.0005913794,0.0007535277,0.0007269138,0.003531361],"category_scores_gemma":[0.0005497044,0.0002265968,0.0002709644,0.0006052848,0.0002763046,0.0005108998,0.0002756899,0.0002368463,0.001230219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355493,"about_ca_system_score_gemma":0.0002372914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365363,"about_ca_topic_score_gemma":0.002502262,"domain_scores_codex":[0.9995483,0.00002422238,0.00004129676,0.00007471989,0.0002789573,0.00003244169],"domain_scores_gemma":[0.9997812,0.00003167058,0.00002623736,0.00003870858,0.0001131041,0.000009067191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001022758,0.00001061442,0.0005773399,0.0001048784,0.000007089268,0.0001721567,0.000134112,0.0001907882,0.9847777,0.0001361667,0.0002672001,0.01351986],"study_design_scores_gemma":[0.000005580345,0.0002003106,0.01684383,0.00003055347,0.00001881595,0.000465453,0.0001521078,0.001083237,0.9657642,0.0001360274,0.01528697,0.00001308683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.954555,0.005458971,0.01633927,0.0001502373,0.0001328828,0.0001443251,0.002632838,0.0004950416,0.02009157],"genre_scores_gemma":[0.9565217,0.001091148,0.01430498,0.00007426656,0.00002085975,0.0000620463,0.001805645,0.0001700518,0.02594918],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003531361,"threshold_uncertainty_score":0.01181358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0213534173308129,"score_gpt":0.2236408650761296,"score_spread":0.2022874477453167,"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."}}