{"id":"W2031781898","doi":"10.1007/s10584-011-0063-3","title":"Assessing market and non-market costs of freshwater flooding due to climate change in the community of Fredericton, Eastern Canada","year":2011,"lang":"en","type":"article","venue":"Climatic Change","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Environment and Climate Change Canada; University of New Brunswick","funders":"Government of Canada","keywords":"Flooding (psychology); Climate change; Flood myth; Population; Valuation (finance); Environmental science; Environmental resource management; Geography; Ecology; Business; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212184,0.0001497564,0.0002619959,0.00005828854,0.0001151069,0.00002736751,0.0003727553,0.00003382631,0.0008607186],"category_scores_gemma":[0.00002314178,0.000110835,0.00002585771,0.0002174393,0.0000857547,0.000302798,0.00060555,0.0001266561,0.000004487122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110945,"about_ca_system_score_gemma":0.000006588896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6035926,"about_ca_topic_score_gemma":0.8231773,"domain_scores_codex":[0.9986615,0.0002620565,0.000317993,0.0001520949,0.0002915697,0.0003147902],"domain_scores_gemma":[0.9992503,0.0001359519,0.0001612783,0.0003812789,0.000008142086,0.00006308198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004677535,0.0003966462,0.9217179,0.0006464691,0.00002800798,0.0000432243,0.05211126,0.000002016276,0.0002929718,0.00003981172,0.00281804,0.02185686],"study_design_scores_gemma":[0.0003214552,0.00009297489,0.9840949,0.0003183304,0.00003318127,0.000002820225,0.009760511,0.004840962,0.0001515688,0.00005362357,0.0001758065,0.0001538828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764296,0.00003640766,0.00003880526,0.0002231487,0.0001085603,0.0007369141,0.00002302391,0.000005898309,0.02239764],"genre_scores_gemma":[0.9978321,0.00006351355,0.0013902,0.0005376518,0.00001817877,0.0001239883,0.000005828232,0.00001236299,0.00001619962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2195847,"threshold_uncertainty_score":0.9424265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06013116690813094,"score_gpt":0.2724822916542269,"score_spread":0.2123511247460959,"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."}}