{"id":"W3115695683","doi":"10.3138/cart-2020-0003","title":"3D Geovisualization Interfaces as Flood Risk Management Platforms: Capability, Potential, and Implications for Practice","year":2020,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geovisualization; Workflow; Visualization; Computer science; Data science; Geospatial analysis; Flood myth; Interface (matter); Risk management; Information visualization; Geography; Remote sensing; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04242257,0.001393149,0.0005498724,0.003536241,0.001880851,0.02130971,0.004262991,0.004098244,0.01240751],"category_scores_gemma":[0.06609837,0.0007424166,0.0009487316,0.003304104,0.008458682,0.0153457,0.008446329,0.003472797,0.002699887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003644214,"about_ca_system_score_gemma":0.007238045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005253339,"about_ca_topic_score_gemma":0.004986396,"domain_scores_codex":[0.9768479,0.01791946,0.0008474298,0.001022244,0.002768435,0.0005945765],"domain_scores_gemma":[0.9391462,0.04433659,0.00217056,0.004999673,0.006518235,0.002828741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000280824,0.0005622249,0.01125889,0.003326993,0.00006777677,0.0006307092,0.04016543,0.004452197,0.002855483,0.294244,0.02680225,0.6153533],"study_design_scores_gemma":[0.0002262862,0.0006202078,0.006994066,0.01604125,0.0001457732,0.001988521,0.05751656,0.02121922,0.005588827,0.3972936,0.4919637,0.0004020894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08495366,0.05153243,0.4867506,0.1630472,0.001616095,0.001255906,0.0004964952,0.004569387,0.2057782],"genre_scores_gemma":[0.4548998,0.03566693,0.4929069,0.004611901,0.0005530841,0.001088029,0.0001967007,0.0007691126,0.009307452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04242257,"threshold_uncertainty_score":0.2243547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009087597729123433,"score_gpt":0.2882672760945434,"score_spread":0.27917967836542,"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."}}