{"id":"W2099342750","doi":"10.1145/1122501.1122508","title":"Hierarchical RLE level set","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Octree; Computer science; Data structure; Set (abstract data type); Set operations; Algorithm; Ray tracing (physics); Representation (politics); Data set; Parallel computing; Theoretical computer science; 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":[0.0001964414,0.0001739141,0.0001374665,0.0005105519,0.0003219272,0.0001729659,0.001093873,0.0001185356,0.00001369991],"category_scores_gemma":[0.000007742045,0.0001752327,0.0001687053,0.001235757,0.00008259408,0.0002095568,0.00002764287,0.0002951738,0.00001328385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001611654,"about_ca_system_score_gemma":0.00004815718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008207412,"about_ca_topic_score_gemma":0.00009201936,"domain_scores_codex":[0.9986582,0.00006681634,0.0002628368,0.0004112146,0.0003452378,0.0002556684],"domain_scores_gemma":[0.9985827,0.0001292235,0.00005316461,0.001048209,0.0001039448,0.00008278363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000413348,0.0002199947,0.0002102756,0.000006943129,0.00001546049,0.000005055918,0.00007534579,0.0000859865,0.00006685394,0.9839263,0.002253555,0.01313009],"study_design_scores_gemma":[0.0007092197,0.0004745447,0.012874,0.00004789717,0.00002242255,0.00005274059,0.00000924733,0.1059386,0.009939229,0.813465,0.05568824,0.0007788274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003149368,0.00002875855,0.9942517,0.00122509,0.0002525805,0.0001353225,0.0000224697,0.0005993323,0.0003353524],"genre_scores_gemma":[0.940847,0.00008860697,0.05761078,0.001114172,0.00005979426,0.0000376381,0.00001422562,0.000019166,0.0002085554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9376977,"threshold_uncertainty_score":0.7145783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0460388388688321,"score_gpt":0.2995510704602062,"score_spread":0.2535122315913741,"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."}}