{"id":"W7096485483","doi":"","title":"3D FLOOD-RISK MODELS OF GOVERNMENT INFRASTRUCTURE","year":2012,"lang":"en","type":"article","venue":"","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Visualization; Digital elevation model; Flooding (psychology); Data visualization; Government (linguistics); Lidar; Representation (politics); Terrain","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003713814,0.0006465775,0.0004972998,0.0009459931,0.0004470966,0.001591924,0.0008957027,0.001423136,0.003023652],"category_scores_gemma":[0.001416623,0.0006290007,0.0009426241,0.0007976788,0.0006392959,0.0009676754,0.0008713458,0.0005334815,0.0004797621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582851,"about_ca_system_score_gemma":0.000808347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244952,"about_ca_topic_score_gemma":0.01278382,"domain_scores_codex":[0.9997874,0.00006985498,0.00001455333,0.00003094061,0.00005029662,0.00004695629],"domain_scores_gemma":[0.9996972,0.0001366669,0.00005521557,0.00002291761,0.00005940534,0.00002865207],"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":[0.000005145569,0.00000383582,0.0002813236,0.000003827781,0.000003310786,0.00002475505,0.00001749785,0.9967013,0.0001069035,0.002111076,0.0001177193,0.0006232457],"study_design_scores_gemma":[0.000001960192,0.000002898535,0.0001954534,0.000002646414,0.000002254764,0.00001083877,0.00001085179,0.9979559,0.00005363264,0.001451817,0.0003068261,0.000004814488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4216695,0.001047897,0.5190118,0.001388206,0.0001419345,0.0001687013,0.002648684,0.001395687,0.05252753],"genre_scores_gemma":[0.9799351,0.0004765978,0.01054482,0.00004953562,0.00002561296,0.00009609134,0.0004358983,0.00008875037,0.00834769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03244952,"threshold_uncertainty_score":0.06452125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006498821316172188,"score_gpt":0.1860103308010901,"score_spread":0.1795115094849179,"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."}}