{"id":"W2106593711","doi":"10.1109/eicccc.2006.277255","title":"Mainstreaming Climate Change for Extreme Weather Events&amp;amp;Management of Disasters: An Engineering Challenge","year":2006,"lang":"en","type":"article","venue":"","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada; Impact","funders":"","keywords":"Extreme weather; Damages; Climate change; Mainstreaming; Vulnerability (computing); Emergency management; Risk analysis (engineering); Environmental resource management; Environmental planning; Business; Environmental science; Computer science; Computer security; Political science; Economics; Economic growth","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":[0.003875023,0.0004436169,0.0005896473,0.0005481876,0.001160634,0.003465969,0.001242541,0.002383907,0.004923805],"category_scores_gemma":[0.007185242,0.0001961769,0.000330886,0.0006011972,0.001280548,0.004051087,0.001724599,0.001608295,0.001301652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035996,"about_ca_system_score_gemma":0.00473999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002655166,"about_ca_topic_score_gemma":0.002780212,"domain_scores_codex":[0.9976707,0.0009307461,0.0001078437,0.000180326,0.0008589805,0.0002514164],"domain_scores_gemma":[0.9946681,0.001881078,0.0004152742,0.0003923787,0.002017403,0.0006257329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001848624,0.0008551856,0.006192682,0.001418505,0.00009477345,0.0003875479,0.001273821,0.04915235,0.01681993,0.1417412,0.04734816,0.7345308],"study_design_scores_gemma":[0.0001713554,0.001200887,0.0211641,0.0008646562,0.0001312488,0.0005327952,0.01301481,0.08451391,0.01129291,0.3590003,0.5079459,0.0001670979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08664346,0.01847088,0.2890154,0.4609293,0.004595322,0.0006476161,0.0003497904,0.001396211,0.137952],"genre_scores_gemma":[0.8459189,0.01150141,0.1122683,0.01036646,0.002819857,0.0003524324,0.0001457104,0.0002122871,0.01641463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004923805,"threshold_uncertainty_score":0.02049327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07827021282300468,"score_gpt":0.2675349813846502,"score_spread":0.1892647685616455,"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."}}