{"id":"W2338306586","doi":"","title":"Vulnerability and Adaptation of Transportation Infrastructure to Climate Change","year":2015,"lang":"en","type":"article","venue":"TAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sÃ©curitÃ© routiÃ¨re - 2015 CongrÃ¨s et Exposition de l'Association des transports du Canada","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critical infrastructure; Climate change; Vulnerability (computing); Context (archaeology); Environmental planning; Environmental resource management; Business; Vulnerability assessment; Mandate; Risk analysis (engineering); Computer science; Environmental science; Psychological resilience; Geography; 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":[0.001108303,0.0002506882,0.0001747508,0.0024886,0.001345392,0.002037055,0.0004293018,0.0006741848,0.00145565],"category_scores_gemma":[0.004078198,0.000194341,0.0006769671,0.002230839,0.00144995,0.00139414,0.00260722,0.0005533269,0.0001511145],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007930746,"about_ca_system_score_gemma":0.00319439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1763759,"about_ca_topic_score_gemma":0.1318972,"domain_scores_codex":[0.9985129,0.0004094806,0.00006694503,0.0001583075,0.0003818411,0.0004705805],"domain_scores_gemma":[0.99849,0.0004295883,0.0003537618,0.0001273877,0.0004707219,0.000128568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001328239,0.00005385314,0.3660228,0.0002141952,0.0004018112,0.00179405,0.007430883,0.4481181,0.005004789,0.0933206,0.004928793,0.07257733],"study_design_scores_gemma":[0.000007538405,0.0002055562,0.6712927,0.0003386225,0.0002234786,0.001266733,0.02031181,0.158019,0.003027788,0.09505645,0.05001959,0.0002307548],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936459,0.001266693,0.02179823,0.00263848,0.00004356519,0.0001604326,0.001233941,0.0001428253,0.07906986],"genre_scores_gemma":[0.9968445,0.0006572212,0.00107046,0.00005270422,0.000007472084,0.0000331982,0.0001539949,0.000008761633,0.001171661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9920692,"threshold_uncertainty_score":0.3506986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152794159940057,"score_gpt":0.2438196125738736,"score_spread":0.2285401965798679,"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."}}