{"id":"W2565118663","doi":"10.1016/j.triboint.2016.12.022","title":"Self-lubricating composite bearings: Effect of fibre length on its tribological properties by DEM modelling","year":2016,"lang":"en","type":"article","venue":"Tribology International","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Centre National d’Etudes Spatiales","keywords":"Tribometer; Tribology; Materials science; Composite material; Lubrication; Composite number; Rheology; Filler (materials); Retainer; Discrete element method; Contact mechanics; Finite element method; Mechanics; Structural 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":[0.0001899042,0.0002407769,0.0003111399,0.000333335,0.0001894911,0.0002215659,0.000352708,0.0004567667,0.001273112],"category_scores_gemma":[0.0005633716,0.000138276,0.0002561686,0.0002605086,0.0001865668,0.0003581507,0.0001298169,0.0001671405,0.0001777021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495493,"about_ca_system_score_gemma":0.0001723732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012721,"about_ca_topic_score_gemma":0.003297217,"domain_scores_codex":[0.9999402,0.000009032563,0.000003830819,0.00001282127,0.00002360478,0.00001060414],"domain_scores_gemma":[0.9996964,0.0001412649,0.00004161639,0.0000403356,0.00006874422,0.00001174047],"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":[0.0004743065,0.0001469598,0.00294866,0.0003237767,0.00002104785,0.0002134839,0.0001908686,0.780485,0.1916641,0.001180342,0.0004228746,0.02192862],"study_design_scores_gemma":[0.000006801697,0.00006854897,0.00193222,0.000004883163,0.00001285383,0.00003445064,0.00001496407,0.9713801,0.02589635,0.00009439201,0.0005460999,0.000008353188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708909,0.0003164093,0.02476671,0.00004578563,0.00002079067,0.0000196335,0.000225602,0.0002613467,0.003452897],"genre_scores_gemma":[0.9979178,0.00005655516,0.001376096,0.000001578443,0.000001879134,0.000004655054,0.0000420719,0.00001043987,0.0005888071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003012721,"threshold_uncertainty_score":0.005990386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638718835950386,"score_gpt":0.2270970319206801,"score_spread":0.2107098435611762,"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."}}