{"id":"W2275469920","doi":"10.2139/ssrn.2197795","title":"Preparing for the Costs of Extreme Weather in Canadian Cities: Issues, Tools, Ideas","year":2013,"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":"University of Toronto; Institute on Governance","funders":"","keywords":"Extreme weather; Meteorology; Environmental planning; Environmental science; Geography; Climate change; Geology","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":[0.009468654,0.0008435959,0.0005117406,0.004036827,0.01081635,0.02203231,0.003222348,0.004890065,0.01066777],"category_scores_gemma":[0.0424127,0.0004504042,0.0005253727,0.005671903,0.009370522,0.01016038,0.003089911,0.005731162,0.0005592601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06062693,"about_ca_system_score_gemma":0.1353186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8929421,"about_ca_topic_score_gemma":0.9256521,"domain_scores_codex":[0.9952739,0.001060923,0.00012459,0.0001804204,0.002019297,0.001340821],"domain_scores_gemma":[0.9698675,0.01131362,0.001779215,0.0006029429,0.01184886,0.004587822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001468067,0.0001878765,0.03203647,0.000850832,0.0000974065,0.0004489074,0.01589983,0.009985061,0.0005045526,0.3354361,0.2975568,0.3068494],"study_design_scores_gemma":[0.0000493221,0.0001060906,0.08128525,0.003252898,0.000203134,0.0002698076,0.153322,0.007648188,0.001147984,0.1906054,0.5615453,0.0005646882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.05054322,0.01267851,0.006792541,0.7958223,0.001738095,0.0001550705,0.000652562,0.0001465536,0.1314713],"genre_scores_gemma":[0.8936111,0.02858307,0.01475801,0.02802825,0.002490702,0.000177482,0.0004294248,0.0001880534,0.03173387],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1070579,"threshold_uncertainty_score":0.4398812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051316657949327,"score_gpt":0.2355218322763537,"score_spread":0.2250086656968604,"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."}}