{"id":"W2032615938","doi":"10.1145/2407746.2407762","title":"A time series 3D hierarchy for real-time dynamic point cloud interaction","year":2012,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Point cloud; Rendering (computer graphics); Visualization; Theoretical computer science; Computer graphics (images); Hierarchy; Memory hierarchy; Representation (politics); Quantization (signal processing); Computer vision; Real-time computing; Artificial intelligence; Parallel computing","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":[0.0003553465,0.0006018609,0.0004775934,0.0009666018,0.0004726854,0.001012831,0.0009491832,0.0004733582,0.005948638],"category_scores_gemma":[0.001370727,0.0003255671,0.0006809533,0.00114028,0.0004468858,0.001127349,0.001169277,0.0007815713,0.001375652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000620797,"about_ca_system_score_gemma":0.0006285273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961815,"about_ca_topic_score_gemma":0.002984672,"domain_scores_codex":[0.9995882,0.0000600315,0.00002747318,0.00005071509,0.000238348,0.00003521818],"domain_scores_gemma":[0.9995742,0.0001080306,0.00003100714,0.0001055884,0.0001256255,0.0000555509],"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":[0.000469139,0.0001679663,0.00129239,0.0004358738,0.00005809885,0.0006086951,0.0009029818,0.1404328,0.2815499,0.1297696,0.01791153,0.426401],"study_design_scores_gemma":[0.00004227511,0.0001051336,0.0005892849,0.00002711926,0.00001942827,0.0003490018,0.00008368454,0.9320777,0.02342377,0.01773808,0.02549563,0.0000488997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006232814,0.00008264203,0.9901283,0.00006345304,0.00002794756,0.00005270133,0.000131652,0.00157471,0.001705723],"genre_scores_gemma":[0.2011387,0.0003634115,0.7944072,0.00006827929,0.0000513495,0.0002016465,0.0006205812,0.0006131,0.002535702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005948638,"threshold_uncertainty_score":0.01990014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289503880724523,"score_gpt":0.2958244217850446,"score_spread":0.2829293829777994,"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."}}