{"id":"W1569758720","doi":"","title":"Multiresolution point-set surfaces","year":2008,"lang":"en","type":"article","venue":"","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Point (geometry); Set (abstract data type); Representation (politics); Scaling; Computer science; Multiresolution analysis; Surface (topology); Algorithm; Artificial intelligence; Geometry; Mathematics; Wavelet; Wavelet transform","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":[0.0006159046,0.0006910712,0.0009419929,0.001590218,0.0004067997,0.002270699,0.0007649824,0.000976844,0.004476324],"category_scores_gemma":[0.002578796,0.0004877025,0.001062408,0.001586043,0.0005379982,0.002215922,0.001784597,0.001617614,0.001606428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500636,"about_ca_system_score_gemma":0.0002528146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005716844,"about_ca_topic_score_gemma":0.0004480836,"domain_scores_codex":[0.9991793,0.00009576462,0.00003331983,0.00011983,0.0004976499,0.00007412117],"domain_scores_gemma":[0.999233,0.0001795611,0.0000580239,0.0003064346,0.0001837664,0.00003922691],"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":[0.0001929353,0.00008140202,0.001198811,0.0003403792,0.0001043811,0.000464225,0.0007508849,0.1798678,0.158471,0.1773074,0.006746553,0.4744744],"study_design_scores_gemma":[0.00002552917,0.00007308668,0.001503896,0.00005343425,0.00004560333,0.0008040214,0.0001929265,0.8417171,0.03697666,0.08481186,0.03371477,0.00008110971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01556988,0.0003513604,0.9807408,0.0001145883,0.00004526872,0.00002552522,0.0001119001,0.0006814029,0.002359245],"genre_scores_gemma":[0.3704385,0.001289076,0.6227769,0.00009300397,0.0001242934,0.00008747728,0.0006813313,0.0005043751,0.004005055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004476324,"threshold_uncertainty_score":0.01497483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04054509639674671,"score_gpt":0.2914409770787885,"score_spread":0.2508958806820418,"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."}}