{"id":"W2136022644","doi":"10.5194/nhess-15-1645-2015","title":"READY: a web-based geographical information system for enhanced flood resilience through raising awareness in citizens","year":2015,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Università degli Studi della Basilicata","keywords":"Flood myth; Directive; Business; Natural hazard; Risk management; Resilience (materials science); Flooding (psychology); Dissemination; Hazard; Flood risk management; Environmental resource management; Environmental planning; Risk analysis (engineering); Computer science; Geography","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":[0.001255715,0.000176215,0.0002475137,0.0001272393,0.0003772117,0.0002445048,0.000288026,0.00008017078,0.000004590171],"category_scores_gemma":[0.00004445695,0.0001291651,0.00004947303,0.000715535,0.0003161307,0.001217552,0.0001106838,0.0001017065,0.0000209165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106335,"about_ca_system_score_gemma":0.000105532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001112739,"about_ca_topic_score_gemma":0.000651631,"domain_scores_codex":[0.9979876,0.0000895558,0.0003827049,0.0003838536,0.0007306633,0.0004256009],"domain_scores_gemma":[0.9994689,0.0000650399,0.000154528,0.0001609204,0.00004110286,0.0001095036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001614953,0.0004134204,0.3205427,0.005369705,0.0001204069,0.00006656263,0.01215643,0.1582245,0.01426809,0.06429386,0.007817596,0.4151118],"study_design_scores_gemma":[0.005767089,0.0008745938,0.04639298,0.00111055,0.00005721829,0.00002903572,0.02026861,0.9124262,0.004931178,0.0002894546,0.006843377,0.001009727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827691,0.0001670777,0.006513493,0.0002052928,0.0007736859,0.0007518725,0.00001391191,0.0001171862,0.008688357],"genre_scores_gemma":[0.9958011,0.000007569731,0.003952644,0.00008144126,0.00003744627,0.00006903096,0.000009417449,0.000004477004,0.00003685773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7542017,"threshold_uncertainty_score":0.52672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945079626168334,"score_gpt":0.2751048145656991,"score_spread":0.2556540183040158,"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."}}