{"id":"W2039269712","doi":"10.1115/1.2162870","title":"A Compliant Contact Model Including Interference Geometry for Polyhedral Objects","year":2005,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geometric modeling; Geometric shape; Geometric design; Robotics; Computer science; Contact geometry; Geometry; Interference (communication); Contact force; Robot; Artificial intelligence; Simulation; Mathematics; Physics; Classical mechanics","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":[0.0002199042,0.0001162593,0.0002661007,0.0001124934,0.0000515772,0.00005132326,0.0001175996,0.00005521774,0.000001944591],"category_scores_gemma":[0.00002341317,0.000100719,0.0001007077,0.00006298472,0.00001183717,0.0001496321,0.00002471874,0.0001612065,0.00000121095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124989,"about_ca_system_score_gemma":0.00004676028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001592783,"about_ca_topic_score_gemma":0.000021061,"domain_scores_codex":[0.9991612,0.000009075517,0.0004418037,0.00007460556,0.0001681202,0.0001451495],"domain_scores_gemma":[0.9993901,0.0001589476,0.0001328641,0.00004030882,0.0001760074,0.0001018118],"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":[0.00006578306,0.00003620722,0.00006482135,0.00004407113,0.00007865222,0.000002400763,0.00006564601,0.9764206,0.0003392459,0.008027322,0.00003628983,0.014819],"study_design_scores_gemma":[0.0008882917,0.0001368763,0.0002310872,0.00007616836,0.00002157332,0.00008601697,0.00003873757,0.9919468,0.00001035465,0.006361709,0.00008797968,0.0001144347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.358478,0.0002238971,0.6406503,0.0002644205,0.0001663742,0.00006922394,0.00004551854,0.00001583835,0.00008645102],"genre_scores_gemma":[0.9369139,0.0000268665,0.06263609,0.00009575985,0.0002724298,0.000001548408,0.00001482818,0.00001608583,0.0000224616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.578436,"threshold_uncertainty_score":0.4107202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738589102441292,"score_gpt":0.2547876614205692,"score_spread":0.2374017703961563,"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."}}