{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835263,0.0006467067,0.0005645006,0.0005691512,0.0003700741,0.0005998928,0.001347372,0.001321506,0.002190441],"category_scores_gemma":[0.0008338587,0.000266534,0.0007019135,0.0005073737,0.0007711948,0.001306205,0.0008008448,0.000616259,0.0007052876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949076,"about_ca_system_score_gemma":0.0004510491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266686,"about_ca_topic_score_gemma":0.0007787733,"domain_scores_codex":[0.9995553,0.00006119067,0.00002111713,0.00006216057,0.0002675708,0.00003259863],"domain_scores_gemma":[0.9997532,0.00006638445,0.00004868933,0.00006600859,0.00005030373,0.00001534844],"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":[0.00003456178,0.00004471642,0.0003172748,0.00005065034,0.00001234287,0.0003348542,0.00008213714,0.9148166,0.01228617,0.0529067,0.0007400673,0.018374],"study_design_scores_gemma":[0.000003887646,0.00003465365,0.00009377558,0.00000241806,0.000002713996,0.00008836048,0.000006704507,0.9933141,0.0006757891,0.004744939,0.00102671,0.000005995673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01410935,0.0001014364,0.9797145,0.00007073988,0.00003604287,0.00004883899,0.00006115292,0.0001725956,0.005685329],"genre_scores_gemma":[0.8322487,0.0006592157,0.1493886,0.0001525781,0.00009626873,0.0004271406,0.0004371869,0.0001417102,0.01644859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002190441,"threshold_uncertainty_score":0.007327735,"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."}}