{"id":"W3122685589","doi":"","title":"Economic Evaluation of Climate Change Impacts on Ground Transportation in Atlantic Canada: General Equilibrium Framework","year":2014,"lang":"en","type":"article","venue":"EcoMod2014","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Greenhouse gas; Economic impact analysis; Environmental science; Climate change scenario; Natural resource economics; Computable general equilibrium; Global warming; Effects of global warming; Economic cost; Climate model; Ecological forecasting; Environmental resource management; Economics; Engineering; Ecology; Civil engineering","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":[0.001650942,0.001266506,0.0009352784,0.00154502,0.001362204,0.003176101,0.002130795,0.001641729,0.003038001],"category_scores_gemma":[0.003344255,0.0004900981,0.00132305,0.002098227,0.001367026,0.001327337,0.001371668,0.001237144,0.0001509892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02248678,"about_ca_system_score_gemma":0.01557085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8050644,"about_ca_topic_score_gemma":0.6632736,"domain_scores_codex":[0.9990448,0.0003070452,0.0000207238,0.00009377246,0.000164517,0.0003691683],"domain_scores_gemma":[0.9990814,0.0004413842,0.00009168136,0.00002486744,0.0002628681,0.00009784499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000737599,0.00006818157,0.004145896,0.00007895454,0.00005798604,0.0002821553,0.00003986842,0.9596914,0.0002192766,0.03101364,0.001276292,0.003052463],"study_design_scores_gemma":[0.00002377976,0.0000460494,0.002965838,0.00002456514,0.00006641202,0.00002834517,0.0002460283,0.9878429,0.00009944583,0.007107277,0.001526467,0.00002278454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.767997,0.005537781,0.0826403,0.006224751,0.0002297738,0.0006687832,0.005453637,0.0002182337,0.1310298],"genre_scores_gemma":[0.9821143,0.002217214,0.005096116,0.0001253979,0.0000346364,0.0001211547,0.0007678497,0.00002033951,0.009503026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1949356,"threshold_uncertainty_score":0.3921671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613678968076706,"score_gpt":0.2593423446713717,"score_spread":0.2432055549906047,"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."}}