{"id":"W2034988561","doi":"10.1080/02508060108686901","title":"Flood Damage Reduction","year":2001,"lang":"en","type":"article","venue":"Water International","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of New Brunswick; University of New Brunswick","funders":"","keywords":"Flood myth; Floodplain; Damages; Flooding (psychology); Structural basin; Water resource management; Drainage basin; Environmental planning; Environmental resource management; Hydrology (agriculture); Geography; Environmental science; Geology; Law; Archaeology; Political science; Cartography; Geomorphology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005351994,0.0004332121,0.0002952199,0.001334593,0.0003890633,0.0007542127,0.0006547877,0.0003155948,0.02242597],"category_scores_gemma":[0.001538952,0.00006414131,0.0002800964,0.0006660444,0.0002602542,0.0004164205,0.001081599,0.0003419265,0.002437827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823661,"about_ca_system_score_gemma":0.0005956003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315266,"about_ca_topic_score_gemma":0.002127705,"domain_scores_codex":[0.9994968,0.000114558,0.00002396642,0.0000562286,0.0002136835,0.00009479003],"domain_scores_gemma":[0.9993271,0.0001079166,0.0000920616,0.0001177022,0.0002872099,0.00006808996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003694683,0.0005208604,0.01217088,0.0004724598,0.0001188261,0.0002126191,0.0003759202,0.06296036,0.02545645,0.03784328,0.036913,0.8225859],"study_design_scores_gemma":[0.0002816639,0.004107815,0.1818517,0.0006754787,0.0005743261,0.002094903,0.003132137,0.1363069,0.08550555,0.08543778,0.4998865,0.0001452003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3437669,0.002851462,0.156846,0.004662041,0.0005868679,0.0009343178,0.002273665,0.002047285,0.4860314],"genre_scores_gemma":[0.9390764,0.0008345975,0.01038617,0.0002124343,0.0001115201,0.0001266285,0.0005911135,0.00005936795,0.04860188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242597,"threshold_uncertainty_score":0.0750224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007397370923248891,"score_gpt":0.2300712451870947,"score_spread":0.2226738742638458,"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."}}