{"id":"W4251578544","doi":"10.1145/508936.508939","title":"A mesh update requirement for hierarchical adaptive meshes in mesh-based motion tracking","year":2002,"lang":"en","type":"article","venue":"Proceedings of the 2002 ACM symposium on Applied computing - SAC '02","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Polygon mesh; Computer science; Benchmark (surveying); Frame (networking); Tracking (education); Volume mesh; Mesh generation; Motion (physics); Triangle mesh; T-vertices; Topology (electrical circuits); Computer vision; Computer graphics (images); Finite element method; Mathematics; Engineering; Computer network","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008379925,0.0004125672,0.0005191181,0.0003966637,0.0003955516,0.0002340544,0.003512881,0.0002105715,0.00001017945],"category_scores_gemma":[0.0002352325,0.0003277433,0.0002204937,0.0009190579,0.0001709712,0.0002838286,0.001080974,0.0005415641,0.0000159761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864726,"about_ca_system_score_gemma":0.000026051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005073977,"about_ca_topic_score_gemma":5.92293e-7,"domain_scores_codex":[0.9968573,0.00002731408,0.000747939,0.0009407914,0.0007272161,0.0006993897],"domain_scores_gemma":[0.9980718,0.0003349948,0.0005965681,0.0007108072,0.0001971591,0.00008868046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003506644,0.001328763,0.0005816564,0.0004007554,0.000119628,0.000003014803,0.002648148,0.01083891,0.1168777,0.5869521,0.01492671,0.2649719],"study_design_scores_gemma":[0.001753436,0.0003696325,0.0003648541,0.000610405,0.00002959062,0.000005585593,0.0001489347,0.6433915,0.3244006,0.02771225,0.0006711209,0.0005421034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3559163,0.0006767338,0.5228413,0.07112028,0.002118228,0.007378381,0.00002629217,0.004972171,0.03495028],"genre_scores_gemma":[0.9492149,0.00001961436,0.04983342,0.000630324,0.00007774684,0.0001139784,6.76205e-7,0.00003251701,0.00007676287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6325526,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393591296662718,"score_gpt":0.2501619189597378,"score_spread":0.210802789293466,"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."}}