{"id":"W4230041813","doi":"10.5194/nhess-2018-264","title":"Communicating Disaster Risk? An Evaluation of the Availability andQuality of Flood Maps","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Flood myth; Environmental planning; Quality (philosophy); Disaster risk reduction; Environmental resource management; Geography; Business; Risk analysis (engineering); Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04676164,0.0003910122,0.0006318945,0.004774658,0.001981852,0.005930673,0.001061328,0.0007805579,0.003093528],"category_scores_gemma":[0.1767367,0.0002607435,0.0006171563,0.004733497,0.002350606,0.003830414,0.003392597,0.0009785859,0.000236437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033762,"about_ca_system_score_gemma":0.01408945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1618302,"about_ca_topic_score_gemma":0.2144437,"domain_scores_codex":[0.9555391,0.01840722,0.003122027,0.0009102486,0.02044834,0.001572988],"domain_scores_gemma":[0.7902828,0.1176956,0.02103955,0.006949317,0.05781724,0.006215548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002220381,0.0008832137,0.6242057,0.002172997,0.0004414184,0.0005274061,0.06615417,0.004003856,0.001465941,0.005011531,0.007306387,0.2856071],"study_design_scores_gemma":[0.0002086267,0.001609386,0.8263134,0.002039067,0.0004896453,0.0002399628,0.106001,0.01327275,0.004797725,0.004297428,0.04041899,0.0003120153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624777,0.0005061523,0.004560572,0.002232605,0.00006281366,0.0008950626,0.001535441,0.0001185728,0.02761123],"genre_scores_gemma":[0.9946007,0.0002325772,0.004037487,0.00006352265,0.00001112842,0.0001904263,0.0003030459,0.0000101399,0.000550999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1618302,"threshold_uncertainty_score":0.3217766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617147891385413,"score_gpt":0.3369200593495968,"score_spread":0.2752052702110555,"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."}}