{"id":"W2155367003","doi":"10.1109/3dim.2005.59","title":"Multiresolution Interactive Modeling with Efficient Visualization","year":2005,"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 Laval","funders":"","keywords":"Computer science; Visualization; Tree traversal; Aliasing; Ray tracing (physics); Computer graphics (images); Data visualization; Computer vision; Artificial intelligence; Object (grammar); Field (mathematics); Data structure; Algorithm; Mathematics","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":[0.0006850248,0.0009328457,0.0009509927,0.0009515506,0.0003984614,0.002280635,0.001323824,0.0009763197,0.004992194],"category_scores_gemma":[0.002112277,0.0007736746,0.001071543,0.001005705,0.0005955044,0.001942874,0.003233732,0.001359989,0.001231319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238064,"about_ca_system_score_gemma":0.0005026782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001332662,"about_ca_topic_score_gemma":0.001345963,"domain_scores_codex":[0.9990122,0.0002233865,0.00003871062,0.00008144559,0.000566444,0.0000777673],"domain_scores_gemma":[0.9992396,0.0002390781,0.00005670367,0.0003111364,0.0001161561,0.00003736428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002181387,0.0001022042,0.0006480726,0.0002815215,0.0001091074,0.0004085237,0.0006007418,0.4463413,0.1277867,0.1055302,0.01271128,0.3052623],"study_design_scores_gemma":[0.00002685571,0.00003309937,0.0001636031,0.00002204111,0.00001715781,0.0002517857,0.00003108719,0.9405138,0.01985497,0.01925001,0.01980398,0.00003167963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003331258,0.0001975392,0.9922228,0.0001118821,0.00001423411,0.0000166121,0.0000489989,0.002015828,0.002040877],"genre_scores_gemma":[0.153548,0.0006093521,0.8416903,0.00008034742,0.0000558557,0.00012543,0.0002852462,0.001053543,0.002551879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004992194,"threshold_uncertainty_score":0.01670051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702086375212059,"score_gpt":0.2966197291615754,"score_spread":0.2795988654094548,"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."}}