{"id":"W3099842690","doi":"10.1063/5.0024491","title":"A wearing energy model","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China-Shandong Joint Fund for Marine Science Research Centers; Natural Sciences and Engineering Research Council of Canada","keywords":"Asperity (geotechnical engineering); Rendering (computer graphics); Materials science; Mechanics; Deformation (meteorology); Energy consumption; Work (physics); Service life; Forensic engineering; Computer science; Mechanical engineering; Engineering; Composite material; Physics; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.00002357457,0.00006605617,0.0001726926,0.00001084267,0.0000152805,0.00001518201,0.0001101192,0.00002573386,0.00001453134],"category_scores_gemma":[0.000001771298,0.00005715481,0.00009662068,0.000112893,0.000004585391,0.00004447636,0.00001555777,0.0001308702,0.000004955516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001076787,"about_ca_system_score_gemma":0.000007142473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.5821e-7,"about_ca_topic_score_gemma":1.28274e-7,"domain_scores_codex":[0.9995446,0.000001688983,0.0001840451,0.00004391707,0.000139558,0.00008625576],"domain_scores_gemma":[0.999755,0.000009813049,0.00005624789,0.00005254519,0.00002178827,0.0001046104],"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":[0.000008506569,0.000007399721,0.000001367398,0.00001084886,0.00007225367,0.000002090995,0.0001006337,0.9397796,0.03201973,0.01422938,0.0004243424,0.01334379],"study_design_scores_gemma":[0.0001299608,0.00001163779,0.000001332404,0.000005458485,0.00003791964,2.744323e-7,0.00001798014,0.9642755,0.02646248,0.008371834,0.0006220799,0.00006349423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02103281,0.00008987008,0.9646686,0.00004540215,0.00003644894,0.00001253227,0.000001764418,0.00003212666,0.01408044],"genre_scores_gemma":[0.9966672,0.00008759189,0.002732144,0.000176994,0.0003170403,6.699619e-7,5.074097e-7,0.00001313385,0.000004738237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9756344,"threshold_uncertainty_score":0.2330705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121146329300275,"score_gpt":0.1962616930676697,"score_spread":0.1750502297746669,"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."}}