{"id":"W2157048060","doi":"10.2166/hydro.2013.197","title":"Assessment of GeoEye-1 stereo-pair-generated DEM in flood mapping of an ungauged basin","year":2013,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"European Space Agency","keywords":"Shuttle Radar Topography Mission; Digital elevation model; Remote sensing; Photogrammetry; Geology; Ground truth; Terrain; Flash flood; Flood myth; Floodplain; Cartography; Computer science; Geography; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001010444,0.0001472703,0.0003987325,0.0002179439,0.00003495324,0.00003373208,0.0003709754,0.00005567045,0.0004890034],"category_scores_gemma":[0.00002282686,0.0001176657,0.00009614238,0.0003436253,0.00006999193,0.001353569,0.0001516334,0.0002136301,0.00001764896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589828,"about_ca_system_score_gemma":0.00004632563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002722067,"about_ca_topic_score_gemma":0.00008305696,"domain_scores_codex":[0.9975875,0.00008186818,0.001371276,0.0000730716,0.0006479228,0.0002383436],"domain_scores_gemma":[0.9984921,0.00003999118,0.001086161,0.0002342517,0.00003747274,0.000110038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005556282,0.002608345,0.5122185,0.0007176093,0.0004272968,0.00005080103,0.006795574,0.3784281,0.06282975,0.0008155862,0.008979328,0.02607353],"study_design_scores_gemma":[0.001546005,0.0006004353,0.4483303,0.0001446672,0.00005162189,0.00002127179,0.002248071,0.5408167,0.004828524,0.0003735867,0.0008403155,0.000198433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921172,0.00001619717,0.001111045,0.0001145372,0.0001183416,0.0002698427,0.00000273292,0.000005736383,0.006244394],"genre_scores_gemma":[0.9504552,0.00004587059,0.04930449,0.00007953334,0.00001866479,0.000003113315,0.000004603034,0.00000915216,0.00007933946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1623886,"threshold_uncertainty_score":0.5354245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009139782088136015,"score_gpt":0.2393544572223679,"score_spread":0.2302146751342319,"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."}}