{"id":"W2114284692","doi":"10.1016/j.jag.2012.01.014","title":"Automatic simplification and visualization of 3D urban building models","year":2012,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Delaunay triangulation; Rendering (computer graphics); Legibility; Computer graphics (images); Merge (version control); Visualization; Computer science; 3D city models; Geography; Constrained Delaunay triangulation; Real-time rendering; Cartography; Computer vision; Artificial intelligence; Information retrieval; Visual arts","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":[0.0003660298,0.0001029488,0.0001405513,0.000243496,0.00004177124,0.00004954078,0.0001022962,0.00006763866,0.00001323623],"category_scores_gemma":[0.00002761415,0.000104573,0.00002417124,0.0001334729,0.00002673687,0.001373056,0.00002149611,0.00008256781,0.000002306032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003315294,"about_ca_system_score_gemma":0.00001672848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004454291,"about_ca_topic_score_gemma":0.000001123228,"domain_scores_codex":[0.9988163,0.000007641757,0.0006869203,0.00005056617,0.0003310164,0.0001076073],"domain_scores_gemma":[0.9990553,0.00005366022,0.0003913351,0.00007711658,0.0003532615,0.000069289],"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":[0.00005455637,0.00009344999,0.005472663,0.0002633323,0.0002004508,1.538205e-7,0.009293194,0.5270009,0.01677379,0.1889441,0.0003348346,0.2515686],"study_design_scores_gemma":[0.0004043214,0.00001675609,0.02076984,0.0000475086,0.00002548736,0.00001275408,0.0001410973,0.9720881,0.003165022,0.002396435,0.0008260831,0.0001066206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5982025,0.0001028921,0.4007254,0.00005672119,0.0001855978,0.0001239915,0.000005532341,0.00004128512,0.0005561076],"genre_scores_gemma":[0.9662348,0.0002022259,0.03328272,0.00007511492,0.0001343497,0.000008539033,0.00004710384,0.00001178059,0.000003362328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450872,"threshold_uncertainty_score":0.4264363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848638273880905,"score_gpt":0.2430134219531402,"score_spread":0.2245270392143312,"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."}}