{"id":"W4205389763","doi":"10.2139/ssrn.4006041","title":"Use of a Climate Change Scenario Analysis Tool to Anticipate Various Futures Associated with Extreme Urban Flooding","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Futures contract; Climate change; Flooding (psychology); Coastal flood; Environmental resource management; Environmental science; Environmental planning; Climatology; Risk analysis (engineering); Business; Economics; Psychology; Financial economics; Sea level rise; Oceanography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000487,0.000570717,0.0002544568,0.002300263,0.0004478434,0.001003346,0.0004392245,0.0005812565,0.007863214],"category_scores_gemma":[0.00407973,0.0002764303,0.0005476484,0.001033732,0.0001328612,0.001099853,0.0005278494,0.0003651769,0.000585804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006151599,"about_ca_system_score_gemma":0.0009308529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223035,"about_ca_topic_score_gemma":0.01767667,"domain_scores_codex":[0.9997939,0.00006189641,0.00002407016,0.00003959719,0.00006376652,0.00001678595],"domain_scores_gemma":[0.9978746,0.001544007,0.0001534225,0.00009517826,0.0002525958,0.00008020471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001038938,0.0006560221,0.08800389,0.0003990553,0.0006107228,0.00176322,0.001270127,0.6185115,0.01216844,0.01010914,0.02198611,0.2434829],"study_design_scores_gemma":[0.0000820367,0.0001092194,0.01340029,0.00003337726,0.0001207963,0.0001356725,0.0002463474,0.9732546,0.003422441,0.002703068,0.00644236,0.00004986432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.752202,0.0001358866,0.1753644,0.001253671,0.0001305528,0.000422237,0.01028839,0.02358651,0.03661631],"genre_scores_gemma":[0.8634521,0.0000846304,0.1307101,0.00007353784,0.00001496693,0.0001418085,0.002882898,0.0003409854,0.002298963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01223035,"threshold_uncertainty_score":0.02630508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491107172588577,"score_gpt":0.2360116419075667,"score_spread":0.2111005701816809,"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."}}