{"id":"W2106285233","doi":"10.3141/2067-10","title":"Simulation Model for Assessing the Impact of Climate Change on Transportation and the Economy in Canada","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"Government of Canada","keywords":"Climate change; Economic impact analysis; Truck; Extreme weather; Economy; Environmental science; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005771197,0.0002073151,0.0004412191,0.0004999617,0.001516839,0.00008755515,0.0006199338,0.0001355677,0.00003163041],"category_scores_gemma":[0.0002927717,0.0001238405,0.0003239411,0.00135503,0.001030117,0.0008641044,0.000001340239,0.001041739,5.469356e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005170948,"about_ca_system_score_gemma":0.002856307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7136354,"about_ca_topic_score_gemma":0.9304634,"domain_scores_codex":[0.9944907,0.001274841,0.001334641,0.0002961993,0.001910511,0.0006931033],"domain_scores_gemma":[0.9922298,0.004394415,0.0006962831,0.0002690197,0.00222427,0.0001862013],"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":[0.001601333,0.00007833561,0.34794,0.0000796649,0.00005507006,0.00001037907,0.03002872,0.611873,0.00001612422,0.00622628,0.0002093072,0.001881738],"study_design_scores_gemma":[0.002538516,0.0001421176,0.8951693,0.0002240567,0.00003971746,9.881587e-8,0.00607991,0.09304845,0.0000222199,0.002280461,0.0003230056,0.0001321646],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894512,0.0001466384,0.003924528,0.003965633,0.000161225,0.002004323,0.0001558899,0.00001068948,0.0001798642],"genre_scores_gemma":[0.9972975,0.001771578,0.0004520118,0.00006932873,0.0001162152,0.0001610406,0.00003936531,0.00003164435,0.00006135135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5472293,"threshold_uncertainty_score":0.999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1762460725201291,"score_gpt":0.444543367183505,"score_spread":0.2682972946633759,"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."}}