{"id":"W2765238813","doi":"10.3390/ijgi6100306","title":"Overview of the OGC CDB Standard for 3D Synthetic Environment Modeling and Simulation","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Geospatial analysis; Computer science; Variety (cybernetics); Sensor web; Database; Systems engineering; Terrain; Data modeling; Data science; Software engineering; World Wide Web; Remote sensing; Geography; Engineering; Cartography; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003505414,0.00008072869,0.0001190143,0.00008318797,0.0001286824,0.0001059621,0.0003583257,0.00004682596,0.00001128185],"category_scores_gemma":[0.0001787821,0.00006525006,0.00007853733,0.00001384992,0.00003240773,0.001113139,0.00005620564,0.00009320724,0.000003227802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099061,"about_ca_system_score_gemma":0.00002495587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000119245,"about_ca_topic_score_gemma":0.000002149959,"domain_scores_codex":[0.9989846,0.000008460765,0.0005176392,0.00003712756,0.0003767899,0.00007538518],"domain_scores_gemma":[0.9989372,0.00006229394,0.0004456892,0.0001913554,0.000334408,0.00002908447],"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":[0.00002579529,0.000005070208,0.00009682331,0.00003528732,0.00004673886,4.561971e-8,0.0002662583,0.9501542,0.00008132603,0.0006931851,0.00003846349,0.04855679],"study_design_scores_gemma":[0.0004131969,0.00002135135,0.0006060834,0.0001321805,0.00003250387,0.000006306335,0.00003087814,0.9890334,0.0004109347,0.00205457,0.007195405,0.00006318792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06710792,0.0001158023,0.9311548,0.0005556736,0.0005601345,0.0001962185,0.00008419064,0.00001014618,0.0002151114],"genre_scores_gemma":[0.9854195,0.0002812202,0.01414542,0.00004380551,0.0000823127,0.000008783409,0.000008068679,0.000006964171,0.000003974215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9183115,"threshold_uncertainty_score":0.266082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073388292192892,"score_gpt":0.2782959170033201,"score_spread":0.2575620340813912,"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."}}