{"id":"W1992879081","doi":"10.1115/1.2194915","title":"n -Point Asperity Model for Contact Between Nominally Flat Surfaces","year":2006,"lang":"en","type":"article","venue":"Journal of Tribology","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Asperity (geotechnical engineering); Point (geometry); Exponential function; Curvature; Autocorrelation; Geometry; Gaussian curvature; Gaussian; Gaussian network model; Mathematics; Materials science; Mathematical analysis; Physics; Statistics; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002577172,0.0001193069,0.0003456433,0.0001251876,0.00007831578,0.0000192338,0.0001210022,0.0001236103,0.00003919004],"category_scores_gemma":[0.00005223398,0.0001057303,0.0001922508,0.00005928048,0.00001902856,0.0002358455,0.000007746849,0.0002271451,0.000008580349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122653,"about_ca_system_score_gemma":0.00004723461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002860878,"about_ca_topic_score_gemma":0.0001050795,"domain_scores_codex":[0.9990759,0.00002612141,0.0005284381,0.00007752965,0.00009102585,0.0002010183],"domain_scores_gemma":[0.9992079,0.0003049287,0.0001517442,0.00008777207,0.0001847685,0.00006289702],"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":[0.0002719095,0.0001153543,0.05205575,0.00007861947,0.0003910826,0.00002643177,0.00046957,0.7872285,0.09196179,0.001475049,0.06480297,0.001123009],"study_design_scores_gemma":[0.003597887,0.0009895602,0.1202863,0.00007840945,0.000429779,0.000460934,0.0003124052,0.7736087,0.03228971,0.01599225,0.05127792,0.0006761205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8164585,0.0002846452,0.181603,0.0003528167,0.0006592165,0.00007781295,0.00002936575,0.00003415994,0.0005004899],"genre_scores_gemma":[0.9921905,0.0000644931,0.006883179,0.00001748494,0.0004146357,0.000002502118,0.000006214992,0.00001939173,0.0004016367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.175732,"threshold_uncertainty_score":0.4311557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01873161524602706,"score_gpt":0.2535738705094558,"score_spread":0.2348422552634287,"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."}}