{"id":"W4393859869","doi":"10.25071/xmz4qm28","title":"Climate Change, Ecosystem Loss and Flood Risk: Taking Stock using Burlington Case","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Climate change; Flood myth; Extreme weather; Natural disaster; Biodiversity; Environmental resource management; Natural hazard; Stock (firearms); Natural resource economics; Sustainable development; Globe; Global warming; Ecosystem; Environmental science; Ecosystem services; Environmental planning; Business; Geography; Ecology; Meteorology; Economics","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":[0.0007124463,0.00043753,0.0003196723,0.001953051,0.003066278,0.002166358,0.0009194508,0.0009542256,0.003697748],"category_scores_gemma":[0.002191242,0.0002269841,0.0004279014,0.003842874,0.0009901603,0.001254096,0.001590484,0.001004644,0.0002556294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01389576,"about_ca_system_score_gemma":0.006852541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8645824,"about_ca_topic_score_gemma":0.944501,"domain_scores_codex":[0.999597,0.0001299832,0.00001565008,0.00002774626,0.00009907505,0.0001306244],"domain_scores_gemma":[0.9986979,0.000496534,0.0001643886,0.00005597689,0.0003346723,0.0002504936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002473984,0.00095708,0.5993915,0.0004301507,0.0002030982,0.02222827,0.03097157,0.02976692,0.000865117,0.1250537,0.1215242,0.06836101],"study_design_scores_gemma":[0.0001545516,0.0004641504,0.444847,0.001039457,0.0003558449,0.003390773,0.2035719,0.0502136,0.0005737405,0.03001452,0.265147,0.0002274596],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873852,0.006156648,0.002170999,0.0187506,0.0002466892,0.0002583637,0.00194125,0.00003340811,0.09659011],"genre_scores_gemma":[0.9700946,0.009799952,0.002947706,0.000998895,0.0001013183,0.0001248261,0.0006858163,0.00002232051,0.01522451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1354176,"threshold_uncertainty_score":0.2724302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04749604732380278,"score_gpt":0.2857414009160088,"score_spread":0.238245353592206,"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."}}