{"id":"W1588522392","doi":"10.1109/icmens.2004.1509026","title":"Modeling of Surface Forces between Micron-Sized Objects in Dry Condition","year":2006,"lang":"en","type":"article","venue":"","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Probability density function; Surface (topology); Surface roughness; Surface finish; Fractal; Upper and lower bounds; Gaussian; Machining; Surface force; Mechanics; Materials science; Mathematics; Mathematical analysis; Geometry; Physics; Composite material; 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":[0.00007549195,0.00009858407,0.0001654709,0.00008992587,0.00003765591,0.00001147441,0.00005220364,0.00007313435,0.00009335139],"category_scores_gemma":[0.000006045587,0.0001004577,0.00004977387,0.0001493294,0.00001139858,0.000217804,0.000006773825,0.00009395734,0.00002023739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005957352,"about_ca_system_score_gemma":0.00001226383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868458,"about_ca_topic_score_gemma":0.001386746,"domain_scores_codex":[0.9993451,0.00001557643,0.0003037798,0.0001012377,0.0000845385,0.0001497461],"domain_scores_gemma":[0.9997418,0.00007831409,0.00002119687,0.00009636532,0.00004017672,0.00002213936],"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":[0.000003287105,0.0000145824,0.02356354,0.00002549244,0.00001182198,4.847503e-7,0.0001773915,0.948654,0.02711834,0.0001129545,0.0002691353,0.00004900045],"study_design_scores_gemma":[0.0004868339,0.0000168978,0.01287651,0.00005719668,0.00001704039,9.150524e-7,0.0006256091,0.9160499,0.06841767,0.001034679,0.0002128323,0.0002038965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475574,0.0001344343,0.04077267,0.00001346703,0.0001517003,0.00009198828,0.00001175269,0.0001582736,0.01110824],"genre_scores_gemma":[0.9969835,0.00003812447,0.002341046,0.000002981389,0.00004619434,0.000002866971,0.00003724381,0.00001762841,0.0005304546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04942598,"threshold_uncertainty_score":0.4096547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009189700310802197,"score_gpt":0.2263541982377427,"score_spread":0.2171644979269405,"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."}}