{"id":"W2804906241","doi":"10.1029/2017wr022318","title":"DEM Resolution Effects on Coastal Flood Vulnerability Assessment: Deterministic and Probabilistic Approach","year":2018,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; McMaster University","keywords":"Digital elevation model; Flood myth; Lidar; Probabilistic logic; Elevation (ballistics); Remote sensing; Computer science; Resampling; Environmental science; Geology; Geography; Algorithm; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003497328,0.0003772673,0.0002513018,0.001189453,0.0002447863,0.0007274966,0.000473694,0.0003310488,0.0006779669],"category_scores_gemma":[0.0104442,0.0002478368,0.0004640385,0.001265981,0.0003326496,0.0009312605,0.0007427075,0.0003802617,0.00004984651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007363338,"about_ca_system_score_gemma":0.0004681429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009765903,"about_ca_topic_score_gemma":0.01149869,"domain_scores_codex":[0.9987112,0.0008554278,0.00004554971,0.0001001131,0.0002214104,0.00006623203],"domain_scores_gemma":[0.9933082,0.005060337,0.0005396696,0.0004258641,0.0005951933,0.00007079401],"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":[0.00007748671,0.00003126256,0.02403734,0.00003905204,0.00008131697,0.0001322194,0.00004562152,0.9500312,0.0007885815,0.003635451,0.0002879711,0.02081259],"study_design_scores_gemma":[0.000003699332,0.00003026071,0.008335623,0.000009518722,0.00002732732,0.00003763467,0.0000465257,0.9894307,0.0006633597,0.001204008,0.0001997214,0.0000117097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8264944,0.0006683249,0.1656664,0.0006164717,0.00002990493,0.00007442177,0.0006624814,0.0002272251,0.005560289],"genre_scores_gemma":[0.9884905,0.000158256,0.01104451,0.00001091455,0.000006765064,0.00001269711,0.00009782083,0.000007894016,0.000170779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009765903,"threshold_uncertainty_score":0.01941812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03206974845137924,"score_gpt":0.3294131227472709,"score_spread":0.2973433742958916,"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."}}