{"id":"W1732459976","doi":"10.1109/ccece.2003.1226166","title":"Collision detection algorithm for NURBS surfaces in interactive applications","year":2004,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Collision detection; Bounding volume; Minimum bounding box; Computer science; Algorithm; Bounding overwatch; Parametric equation; Surface (topology); Collision; Solver; Parametric statistics; Parametric surface; Function (biology); Computer graphics (images); Point (geometry); Computational geometry; Computer vision; Geometry; Mathematics; Artificial intelligence","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":[0.0002025493,0.00009214198,0.0001084038,0.0001343907,0.00009069082,0.00007852843,0.0003533593,0.00005392838,0.000001257595],"category_scores_gemma":[0.00002553769,0.0000864308,0.00003288632,0.0004629924,0.00001711284,0.0004363921,0.0000619899,0.00009057677,0.00003794177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695086,"about_ca_system_score_gemma":0.00005366944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002010394,"about_ca_topic_score_gemma":0.00003264528,"domain_scores_codex":[0.9991598,0.00002058836,0.0001776554,0.0003241522,0.0001278154,0.0001899884],"domain_scores_gemma":[0.9994047,0.0001540139,0.00006095697,0.0002525863,0.00008017242,0.00004756217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007204917,0.0002526955,0.0000691449,0.000009380677,0.00001459399,0.000006906219,0.001224228,0.1078672,0.002352056,0.004662327,0.00007703775,0.8834572],"study_design_scores_gemma":[0.0007234389,0.0001174428,0.001424868,0.0000240034,0.00000237017,0.0000152517,0.0001119705,0.9590703,0.02930141,0.008305187,0.0007461359,0.0001576045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001799941,0.00002365497,0.9964644,0.0002798098,0.000233957,0.0005819615,0.000003734065,0.0001638409,0.000448755],"genre_scores_gemma":[0.1207059,0.000003210963,0.8787858,0.00006732615,0.00003674543,0.0002597151,0.000003722765,0.000006279742,0.0001312625],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8832996,"threshold_uncertainty_score":0.3524546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302857068583371,"score_gpt":0.2764936581815459,"score_spread":0.2634650874957122,"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."}}