{"id":"W3083091666","doi":"","title":"A methodology for risk assessment of municipal infrastructure due to climate change: a case study of London, Ontario","year":2009,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Risk assessment; Environmental planning; Business; Risk analysis (engineering); Environmental resource management; Environmental science; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002743306,0.0005356894,0.0003279158,0.00336341,0.002282228,0.002539715,0.001202833,0.0007889215,0.003801331],"category_scores_gemma":[0.005048627,0.0003373763,0.0007336581,0.003629259,0.001143275,0.0007496396,0.001002167,0.0003869702,0.0002049913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0156573,"about_ca_system_score_gemma":0.01322852,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7301495,"about_ca_topic_score_gemma":0.8496515,"domain_scores_codex":[0.9985953,0.0005923139,0.000108745,0.000134037,0.000429283,0.0001402888],"domain_scores_gemma":[0.9981034,0.0009147753,0.0002369495,0.0001105299,0.0005655476,0.00006891671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003208408,0.0003926836,0.1611342,0.0015536,0.0005634766,0.004252571,0.02949351,0.2305001,0.01339288,0.1419986,0.01411445,0.4022832],"study_design_scores_gemma":[0.0001902175,0.000546123,0.1802644,0.0007694867,0.0005547872,0.003003336,0.04929706,0.5901523,0.007292384,0.0489222,0.1186716,0.0003360632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4209677,0.001307213,0.507926,0.00186569,0.00005349965,0.002645766,0.002845986,0.0003720354,0.06201611],"genre_scores_gemma":[0.7246025,0.0007145402,0.2614436,0.00005434562,0.00001109544,0.0007141298,0.0006747917,0.00006375187,0.01172131],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2698505,"threshold_uncertainty_score":0.5428793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06292378934945968,"score_gpt":0.3376807993721729,"score_spread":0.2747570100227132,"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."}}