{"id":"W2138177811","doi":"10.4271/2012-01-0733","title":"A Fatigue Life Estimation Technique for Body Mount Joints","year":2012,"lang":"en","type":"article","venue":"SAE International Journal of Materials and Manufacturing","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Mount; Engineering; Structural engineering; Computer science; Automotive engineering; Physical medicine and rehabilitation; Forensic engineering; Mechanical engineering; Medicine","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":[0.0002487316,0.0005165982,0.0002974172,0.0009859481,0.0002680882,0.0002416287,0.0004493225,0.0005001556,0.001479019],"category_scores_gemma":[0.0009696568,0.0002507558,0.0003908302,0.0003770661,0.0001839664,0.0005621593,0.0002768393,0.0003398204,0.0005436635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631615,"about_ca_system_score_gemma":0.0002170563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009783733,"about_ca_topic_score_gemma":0.001047576,"domain_scores_codex":[0.9998202,0.00002614806,0.00001045747,0.00004569571,0.00008543354,0.00001207292],"domain_scores_gemma":[0.9995642,0.0001162503,0.00008787812,0.00007098638,0.0001510568,0.000009571763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001022498,0.00005715763,0.002890991,0.0001476195,0.00003691874,0.0001449304,0.0002519971,0.07634109,0.3580404,0.002968631,0.00119946,0.5578186],"study_design_scores_gemma":[0.000007282395,0.0003273308,0.005511647,0.0000245046,0.0000336765,0.0006580901,0.00005618007,0.8946868,0.09231318,0.001180777,0.005156016,0.00004453348],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01584735,0.0001024956,0.9828286,0.000009400173,0.000005185158,0.00002173716,0.00003094796,0.0005849322,0.0005693892],"genre_scores_gemma":[0.4348384,0.0002482798,0.5613859,0.00001652098,0.00002230348,0.0001191235,0.0002617249,0.0001178713,0.00298989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001479019,"threshold_uncertainty_score":0.004947841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493973044962525,"score_gpt":0.2940770929955284,"score_spread":0.2691373625459031,"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."}}