{"id":"W1985640101","doi":"10.1145/1409060.1409117","title":"Staggered projections for frictional contact in multibody systems","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Computer science; Constraint (computer-aided design); Leverage (statistics); Simple (philosophy); Control theory (sociology); Contact dynamics; Contact force; Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Control (management); Geometry; 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":[0.0001308825,0.0001576948,0.0002217767,0.0002883479,0.0001962037,0.00002299649,0.0001589428,0.0001499696,0.000009148059],"category_scores_gemma":[0.0000172667,0.0001606629,0.0001577978,0.0003703448,0.00001289754,0.0001047292,0.000001175792,0.000261962,0.000008014802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113482,"about_ca_system_score_gemma":0.00003157011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002387953,"about_ca_topic_score_gemma":0.0003683504,"domain_scores_codex":[0.9990381,0.00002486882,0.000325668,0.0001875368,0.0001763223,0.0002475154],"domain_scores_gemma":[0.9993369,0.0002115021,0.0000288123,0.0002833417,0.00006527288,0.00007418141],"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":[0.0004403208,0.001728511,0.001745334,0.0005645396,0.001137184,0.00004940227,0.001118639,0.8895996,0.01400043,0.08049018,0.001565474,0.007560419],"study_design_scores_gemma":[0.00262028,0.0002868596,0.002778221,0.00008707926,0.00004173565,0.00005173244,0.0002087365,0.9807389,0.0001029946,0.00095789,0.01171162,0.0004138982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07806998,0.0002334971,0.9171021,0.0001748855,0.002098125,0.001241008,0.0002984676,0.0004299135,0.0003520132],"genre_scores_gemma":[0.9984514,0.0002406384,0.0004529736,0.00002900951,0.00006180204,0.0005893657,0.00001654868,0.00003584973,0.0001223963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9203814,"threshold_uncertainty_score":0.6551641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227639316763591,"score_gpt":0.2312766270762219,"score_spread":0.2085126953998628,"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."}}