{"id":"W2119049971","doi":"10.5539/cis.v2n2p137","title":"Based on Delaunay Triangulation DEM of Terrain Model","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital elevation model; Terrain; Terrain rendering; Computer science; Elevation (ballistics); Raised-relief map; Geographic information system; Remote sensing; Computer graphics (images); Computer vision; Geology; Cartography; Geography; Geometry; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003537688,0.00004662266,0.00006087302,0.0001696096,0.0001122977,0.00007944339,0.00008753851,0.00001885957,0.00001028124],"category_scores_gemma":[0.00001916567,0.00003307308,0.00001463568,0.0002437707,0.00006634909,0.001382113,0.000002644302,0.00003277318,0.00000977667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001933664,"about_ca_system_score_gemma":0.00004584295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000184304,"about_ca_topic_score_gemma":0.000002242951,"domain_scores_codex":[0.9994493,0.000009761467,0.0001531892,0.00006894823,0.000222849,0.00009602405],"domain_scores_gemma":[0.9997095,0.00002762793,0.00006045543,0.00009077801,0.00005343223,0.00005821245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001497089,0.000002942485,0.001166133,0.000002477864,2.514023e-7,7.405617e-8,0.0004020898,0.3512964,0.00001449991,0.0002047936,0.00007427566,0.6468211],"study_design_scores_gemma":[0.0001485524,0.0001027084,0.2050073,0.00000897273,7.70939e-7,0.000001358617,0.00000656458,0.7942082,0.00008982085,0.0001853952,0.0002030703,0.0000373148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6627645,0.000008155688,0.3147922,0.0003201489,0.0001385071,0.00008811874,0.000006781634,0.00002889711,0.02185271],"genre_scores_gemma":[0.9873569,0.000003762633,0.01125208,0.001352867,0.00001626098,1.220066e-8,0.0000133979,2.160439e-7,0.000004511388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6467838,"threshold_uncertainty_score":0.1348681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115080197114099,"score_gpt":0.2138600981450025,"score_spread":0.2027092961738615,"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."}}