{"id":"W2125615188","doi":"10.1007/978-3-540-72108-6_12","title":"3D Dynamic Simulation within GIS in Support of Disaster Management","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in geoinformation and cartography","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Geographic information system; Representation (politics); Context (archaeology); Field (mathematics); Visualization; Data mining; Process (computing); Spatial analysis; Emergency management; Data science; Geography; Cartography; Remote sensing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001598099,0.0002457084,0.0002557752,0.0009493457,0.000020507,0.00001928067,0.00008802298,0.0002874513,0.00005154947],"category_scores_gemma":[0.000004676105,0.0002608669,0.00007416078,0.0001765558,0.00004958599,0.0001327275,0.00002265887,0.0002947618,0.000008701674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005106797,"about_ca_system_score_gemma":0.00000667594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001534585,"about_ca_topic_score_gemma":0.0006370372,"domain_scores_codex":[0.9987956,0.000003719704,0.0006752974,0.0001456449,0.0002136631,0.0001661109],"domain_scores_gemma":[0.9994935,0.00005514938,0.0001314718,0.0002415363,0.0000417497,0.00003655875],"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":[0.000008625628,0.00000580748,0.0001281638,0.0003355169,0.00002883493,0.000001126542,0.001737309,0.9468423,0.000005135624,0.001485437,0.000008698446,0.04941302],"study_design_scores_gemma":[0.0005972274,0.00004632239,0.000973199,0.0002702222,0.00006025986,0.000003261976,0.00002861958,0.9761156,0.00004454049,0.01075387,0.01059079,0.000516054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002325733,0.0002845881,0.855835,0.00002770158,0.0002130405,0.0008359191,0.00006306725,0.000131444,0.1402836],"genre_scores_gemma":[0.9841776,0.0002571671,0.01445793,0.0001881678,0.0000267116,0.00003843359,0.0005393294,0.00005358382,0.0002610474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9818519,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008347316629676119,"score_gpt":0.2276805952717241,"score_spread":0.219333278642048,"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."}}