{"id":"W1608463736","doi":"10.1023/a:1022942427248","title":"Flood Damage Reduction Program (FDRP) in Québec: Case Study of the Chaudiére River","year":2003,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Gouvernement du Québec; Polytechnique Montréal","funders":"University of Toronto","keywords":"Flood myth; Floodplain; Natural hazard; Flooding (psychology); Water resource management; Return period; Geography; Environmental planning; Environmental resource management; Business; Environmental science; Cartography; Archaeology","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":[0.0005140562,0.0003029893,0.0002580601,0.0006760574,0.003849175,0.001229686,0.001458585,0.001236453,0.003506411],"category_scores_gemma":[0.00128923,0.0002319433,0.0002683342,0.001900667,0.001273772,0.0004446685,0.0008098893,0.0007962468,0.0002183584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03061099,"about_ca_system_score_gemma":0.02544649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993731,"about_ca_topic_score_gemma":0.9978814,"domain_scores_codex":[0.999524,0.0001104691,0.000009790248,0.00003549814,0.00009903466,0.0002213182],"domain_scores_gemma":[0.9988974,0.0001745916,0.0001022829,0.00004439518,0.0004008848,0.0003803343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009393193,0.001727325,0.7297078,0.0003672262,0.0003616546,0.01549126,0.01057443,0.0254847,0.00849181,0.009396451,0.03992348,0.1575347],"study_design_scores_gemma":[0.0001952002,0.0003338746,0.9429668,0.00008404389,0.000110799,0.0008905697,0.01408587,0.01579696,0.0006411757,0.0004252025,0.0244064,0.00006303733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841159,0.0004380178,0.0005500249,0.002051051,0.00001445514,0.0001792932,0.000892736,0.00005594908,0.01170265],"genre_scores_gemma":[0.9835764,0.0003417916,0.001019406,0.0004538763,0.000006943,0.00006834665,0.0004414944,0.00001261085,0.01407916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03061099,"threshold_uncertainty_score":0.2220994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00687238026542276,"score_gpt":0.259441342961156,"score_spread":0.2525689626957333,"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."}}