{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005107998,0.00007414485,0.00007981967,0.00001014308,0.00001674025,0.000003325572,0.00008598512,0.00004784223,0.0001250167],"category_scores_gemma":[0.00000510533,0.00006735602,0.00002495775,0.00005543154,0.00001009493,0.0001025304,0.00002647393,0.00007846551,0.00002248092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004460397,"about_ca_system_score_gemma":0.000002815992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003306397,"about_ca_topic_score_gemma":0.000009574867,"domain_scores_codex":[0.9995017,0.00000373858,0.0001379849,0.00005360129,0.0001573933,0.0001455788],"domain_scores_gemma":[0.9996812,0.00001574346,0.00002092462,0.0002147209,0.00001284276,0.00005460912],"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":[5.369376e-7,0.000012343,0.00261097,0.00001286468,0.00001916625,1.497257e-8,0.0002116315,0.9859392,0.00112272,0.004093267,0.001257826,0.00471944],"study_design_scores_gemma":[0.00007912585,0.00000500897,0.003731674,0.000003727403,0.00001920294,8.122102e-7,0.00002927903,0.9867112,0.005926995,0.002187676,0.001210288,0.00009498743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.220081,0.0001287256,0.7592412,0.000007567578,0.0001122775,0.00008966515,0.00004466152,0.0001229357,0.02017193],"genre_scores_gemma":[0.9106084,0.00004478415,0.08915988,0.00001182923,0.00006656911,0.00001807773,0.000002755105,0.00001582679,0.00007189462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6905274,"threshold_uncertainty_score":0.2746699,"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."}}