{"id":"W2167540449","doi":"10.3233/sav-2010-0501","title":"Study of the Fatigue Life and Weight Optimization of an Automobile Aluminium Alloy Part under Random Road Excitation","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Centre québécois de recherche et de développement de l’aluminium","keywords":"Aluminium; Excitation; Alloy; Aluminium alloy; Materials science; Metallurgy; Automotive industry; Automotive engineering; Structural engineering; Engineering; Electrical engineering; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009748243,0.0001588048,0.0004062968,0.0003031829,0.0000981273,0.000205486,0.0008619177,0.00009580245,0.001137647],"category_scores_gemma":[0.0003478492,0.0001228237,0.0000615582,0.0005825472,0.00006085899,0.0009131358,0.0001910819,0.0003477989,5.679088e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001484193,"about_ca_system_score_gemma":0.00005491942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001323714,"about_ca_topic_score_gemma":0.0000556486,"domain_scores_codex":[0.9983351,0.0001856271,0.0006435963,0.0001830184,0.0004868348,0.0001658864],"domain_scores_gemma":[0.9987662,0.00022719,0.00021515,0.0004097925,0.0002210364,0.0001606353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007566132,0.000368334,0.004895993,0.0001032844,0.000170528,0.000001060535,0.0003891973,0.8632935,0.1273204,0.0001015151,0.0007755704,0.002505013],"study_design_scores_gemma":[0.002612165,0.00006613592,0.1612477,0.0001792953,0.00009026195,0.000004975837,0.000402862,0.795588,0.0388213,0.0004259998,0.0002197916,0.0003415257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827368,0.0005098376,0.01521304,0.00002754111,0.0004685574,0.0006353057,0.00001423513,0.0000384342,0.0003562821],"genre_scores_gemma":[0.9984053,0.0005805975,0.000803396,0.000009429153,0.00007058772,0.00005434073,0.000007339119,0.00003438611,0.00003456039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563517,"threshold_uncertainty_score":0.9997755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.177017761371045,"score_gpt":0.492215044415819,"score_spread":0.315197283044774,"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."}}