{"id":"W2153460674","doi":"10.1109/geows.2009.10","title":"Informed Virtual Geographic Environments: An Accurate Topological Approach","year":2009,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Merge (version control); Computer science; Grid; Representation (politics); Geographic information system; Visualization; Data mining; Geospatial analysis; External Data Representation; Geovisualization; Virtual reality; Data visualization; Theoretical computer science; Data modeling; Spatial analysis; Information visualization; Information retrieval; Human–computer interaction; Artificial intelligence; Database; Geography; Cartography","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":[0.001197977,0.0008455946,0.0009316417,0.003444218,0.0007149741,0.004862975,0.002286004,0.001626829,0.002829025],"category_scores_gemma":[0.00841991,0.0009478873,0.0008510906,0.003279647,0.002020517,0.007642901,0.004391265,0.00118811,0.0008132639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131429,"about_ca_system_score_gemma":0.001135226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637237,"about_ca_topic_score_gemma":0.00334267,"domain_scores_codex":[0.9982009,0.0007169109,0.00008450752,0.000222511,0.0006847056,0.00009043398],"domain_scores_gemma":[0.9976394,0.0008665524,0.0002977012,0.0007759844,0.0003286699,0.00009162241],"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":[0.00003443969,0.00001681869,0.0008425968,0.0001381052,0.00003993119,0.0001564707,0.0004070828,0.6373167,0.001135219,0.3027083,0.001508626,0.05569571],"study_design_scores_gemma":[0.00001853094,0.00004117,0.0005175237,0.00006022122,0.00004236911,0.0003416842,0.0003483038,0.7319846,0.001388404,0.2335489,0.03164259,0.00006575755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004638826,0.000275652,0.9912075,0.0002698299,0.00002684418,0.00002150916,0.0001740944,0.0002253063,0.003160552],"genre_scores_gemma":[0.3456914,0.001725342,0.6476057,0.0001022868,0.00008891194,0.0001667761,0.0007784347,0.000238939,0.003602195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004862975,"threshold_uncertainty_score":0.009464025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622893105004259,"score_gpt":0.3113685235953065,"score_spread":0.2751395925452639,"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."}}