{"id":"W1760458649","doi":"10.4271/2008-01-0211","title":"Rotary Fatigue Analysis of Forged Magnesium Road Wheels","year":2008,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ford Motor Company","keywords":"Magnesium; Automotive engineering; Materials science; Engineering; Structural engineering; Metallurgy; Mechanical engineering; Forensic engineering","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":[0.0001985983,0.00019783,0.0002535835,0.0004227813,0.0001624312,0.000221359,0.0005123233,0.0004281694,0.00141238],"category_scores_gemma":[0.0004618145,0.0001640892,0.000347948,0.0001299584,0.000271888,0.000221301,0.0001384905,0.0001064477,0.0003284772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003793621,"about_ca_system_score_gemma":0.0002006224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008200997,"about_ca_topic_score_gemma":0.007725699,"domain_scores_codex":[0.9999105,0.000008018794,0.000005876944,0.00001591865,0.00004635151,0.00001332644],"domain_scores_gemma":[0.9998615,0.00003593872,0.00002467146,0.00002341076,0.00004824304,0.000006153869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005205204,0.00006254295,0.007632211,0.0002217871,0.0000546778,0.0006114529,0.0003328355,0.5133871,0.4225681,0.003909123,0.0006872122,0.05001249],"study_design_scores_gemma":[0.00001393544,0.0002401681,0.01202108,0.00001319059,0.00001802866,0.000117256,0.00004929164,0.9538146,0.03218473,0.0002282152,0.001278486,0.00002089657],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638293,0.0003159599,0.03238865,0.00003093082,0.000009301476,0.00001581555,0.0001569666,0.0001419593,0.003111191],"genre_scores_gemma":[0.9960848,0.00007070461,0.002498312,0.000003427457,0.000001368971,0.000005004767,0.00006702963,0.00001034559,0.001258886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008200997,"threshold_uncertainty_score":0.01630652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243713115538541,"score_gpt":0.2602519170797116,"score_spread":0.2378147859243262,"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."}}