{"id":"W1991140589","doi":"10.1115/1.2000265","title":"Prediction of Fretting Fatigue Behavior of Metals Using a Fracture Mechanics Approach with Special Consideration to the Contact Problem","year":2003,"lang":"en","type":"article","venue":"Journal of Tribology","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fretting; Inconel; Materials science; Fracture mechanics; Solver; Fracture (geology); Structural engineering; Fatigue limit; Contact mechanics; Finite element method; Problem solver; Interface (matter); Mechanics; Composite material; Engineering; Mathematics; Wetting; Mathematical optimization; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002587324,0.0005470041,0.000365294,0.0004422303,0.0002449845,0.0002399537,0.00063824,0.001129876,0.0007552846],"category_scores_gemma":[0.00103654,0.0003212582,0.0004517049,0.0001788248,0.000326569,0.0005318827,0.0002845158,0.0004764598,0.0002007052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685111,"about_ca_system_score_gemma":0.0004472913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004255474,"about_ca_topic_score_gemma":0.004512825,"domain_scores_codex":[0.9999009,0.00001282256,0.000004604964,0.00001824723,0.00005011741,0.00001325851],"domain_scores_gemma":[0.9995621,0.0002414852,0.00004402934,0.00004352049,0.00008955845,0.00001919717],"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":[0.00003311063,0.00006412686,0.003689284,0.00003788001,0.00001613662,0.00017777,0.00007763924,0.9474101,0.02791758,0.001883267,0.0001606915,0.01853242],"study_design_scores_gemma":[0.000001429116,0.00002188838,0.0003936492,7.558657e-7,0.000001057386,0.0000185375,0.000002990528,0.9976508,0.001679669,0.0001862988,0.0000413688,0.000001596726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4308073,0.0001433073,0.566841,0.00006180028,0.000007067246,0.00006273303,0.0001151059,0.0004599745,0.001501632],"genre_scores_gemma":[0.953346,0.00009702871,0.045417,0.000008560936,0.000005331081,0.00007123635,0.0001092931,0.00004471388,0.0009009366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004255474,"threshold_uncertainty_score":0.008461416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592832044100418,"score_gpt":0.2515977872523489,"score_spread":0.2056694668113447,"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."}}