{"id":"W2148852797","doi":"10.1145/2185520.2185592","title":"Efficient geometrically exact continuous collision detection","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Collision detection; Computer science; Solver; Rounding; Algorithm; Collision; Curvature; Nonlinear system; Degenerate energy levels; Mathematics; Geometry; Physics","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":[0.0007835813,0.0005369057,0.0007195289,0.0005449581,0.0004229812,0.001098675,0.001420413,0.0007375571,0.003207617],"category_scores_gemma":[0.004976279,0.0003508998,0.0004030293,0.0003873474,0.001055983,0.001078534,0.002278581,0.000852224,0.0006216754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005720458,"about_ca_system_score_gemma":0.000937107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352921,"about_ca_topic_score_gemma":0.001407049,"domain_scores_codex":[0.998957,0.000146107,0.00004653074,0.0001112075,0.0006293043,0.0001098572],"domain_scores_gemma":[0.9982773,0.0007035119,0.0001492342,0.0005204192,0.000279998,0.00006952309],"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":[0.0003681811,0.0001085376,0.005236513,0.00025291,0.00004138817,0.0003383671,0.0005035079,0.6920832,0.05700079,0.0831112,0.002832175,0.1581231],"study_design_scores_gemma":[0.00001559967,0.00004682086,0.0002133383,0.000008387053,0.000004072904,0.00007284849,0.00003871382,0.979923,0.01076366,0.007109394,0.001791036,0.00001328125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05517216,0.00006150595,0.9390229,0.00006411932,0.00003300507,0.00004996605,0.00006936397,0.001697659,0.003829346],"genre_scores_gemma":[0.6365059,0.00007309067,0.3609991,0.00005266497,0.00001170244,0.00005943845,0.0001982207,0.0004131378,0.001686704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003207617,"threshold_uncertainty_score":0.01073056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838371075775478,"score_gpt":0.2499640130641955,"score_spread":0.2315803023064407,"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."}}