{"id":"W2104777249","doi":"10.1109/icme.2011.6011982","title":"Optimized point splatting based on a fully-balanced hierarchical structure","year":2011,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rendering (computer graphics); Computer science; Tree structure; Tree (set theory); Data structure; Point process; Algorithm; Representation (politics); Theoretical computer science; Point (geometry); Hierarchy; Computer graphics (images); Mathematics; Geometry; Binary tree; Combinatorics","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":[0.0001878472,0.0001533647,0.0001626038,0.0002152133,0.00009869165,0.0001155627,0.000706263,0.00007440642,0.0001731548],"category_scores_gemma":[0.00002605242,0.0001228434,0.00008355395,0.0004040637,0.00003113455,0.0001643478,0.0001761772,0.000167703,0.000005982109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001435123,"about_ca_system_score_gemma":0.00004273696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001423253,"about_ca_topic_score_gemma":0.00000145668,"domain_scores_codex":[0.9988443,0.00006916265,0.0002242905,0.000395432,0.0002386581,0.0002281998],"domain_scores_gemma":[0.9990893,0.00006763793,0.00007282083,0.0005650676,0.00010027,0.0001048931],"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":[0.00002825409,0.00009042524,0.0002950137,0.000008531703,0.000008244871,0.00001323415,0.000388323,0.00009751987,0.0001714028,0.9900591,0.000811799,0.008028193],"study_design_scores_gemma":[0.0004897339,0.0002171024,0.001100178,0.00002644658,0.000001989195,0.000005117655,0.000003035245,0.9526839,0.01237489,0.0326534,0.0002404676,0.0002036819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002624224,0.000003381033,0.9903009,0.0002967747,0.0001464495,0.000151879,0.000001832659,0.0007260963,0.005748494],"genre_scores_gemma":[0.5447446,0.000001134911,0.4529383,0.00225351,0.00002356526,0.000005577283,0.000002711159,0.000007049439,0.00002351063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9574056,"threshold_uncertainty_score":0.5009409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204445077999007,"score_gpt":0.2629218068009594,"score_spread":0.2408773560209693,"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."}}