{"id":"W2022906071","doi":"10.1115/imece2006-13720","title":"A New Multiple Point Asperity Model for Contact Between Nominally Flat Surfaces","year":2006,"lang":"en","type":"article","venue":"Tribology","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Asperity (geotechnical engineering); Point (geometry); Curvature; Exponential function; Gaussian; Gaussian curvature; Geometry; Autocorrelation; Gaussian network model; Radius of curvature; Materials science; Mathematics; Mathematical analysis; Mean curvature; Physics; Statistics","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":[0.00009232318,0.0001593244,0.0002790145,0.00007225526,0.0001050059,0.00001859923,0.0001055834,0.0001534654,0.00008817672],"category_scores_gemma":[0.00003725013,0.0001618022,0.0001123635,0.0000714124,0.00001570343,0.0001513771,0.00001260233,0.0001373469,0.00005915548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000088526,"about_ca_system_score_gemma":0.00004416631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000748946,"about_ca_topic_score_gemma":0.001638244,"domain_scores_codex":[0.9991521,0.00001882569,0.0002901392,0.0001834155,0.00005985417,0.000295666],"domain_scores_gemma":[0.999349,0.0003209295,0.00003757558,0.000161696,0.00005464228,0.00007617812],"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":[0.0002384093,0.00009087611,0.1290845,0.00009451862,0.0002559933,0.000007519508,0.001160596,0.6374499,0.1058111,0.002997658,0.1197917,0.003017258],"study_design_scores_gemma":[0.001506048,0.0001230781,0.05174381,0.00001083798,0.00007408389,0.00001181872,0.00007297971,0.9062546,0.01192534,0.003993005,0.02392231,0.0003620447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6347372,0.0001364031,0.3632019,0.0001861163,0.0003332104,0.0002003796,0.00006922403,0.0002383243,0.0008972924],"genre_scores_gemma":[0.9855634,0.000019246,0.01188267,0.00001721573,0.0002490701,0.00002039347,0.00007042324,0.0000309457,0.002146615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3513192,"threshold_uncertainty_score":0.6598104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099691579557259,"score_gpt":0.2461031600594853,"score_spread":0.2251062442639127,"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."}}