{"id":"W2790455659","doi":"10.1080/01441647.2018.1426651","title":"Designing computable general equilibrium models for transportation applications","year":2018,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computable general equilibrium; Computer science; Operations research; Management science; Economics; Transport engineering; Macroeconomics; Engineering","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":[0.005910316,0.002116425,0.002228635,0.002202592,0.0007130315,0.003234058,0.003043635,0.003076477,0.0055174],"category_scores_gemma":[0.02270268,0.001428253,0.002966793,0.003148493,0.001943983,0.003914563,0.003072792,0.003419982,0.001443472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003445331,"about_ca_system_score_gemma":0.003193432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009723782,"about_ca_topic_score_gemma":0.008130079,"domain_scores_codex":[0.9962116,0.002581227,0.000214702,0.00033547,0.0005125304,0.0001444068],"domain_scores_gemma":[0.9918732,0.006498063,0.0003173364,0.0005098939,0.0007170503,0.00008444418],"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":[0.00001199197,0.0000234534,0.0003931458,0.0004833275,0.00008894807,0.00005530527,0.00009773946,0.5342255,0.0001712821,0.4389414,0.002611076,0.02289689],"study_design_scores_gemma":[0.00001550033,0.00001933875,0.0001166593,0.0002354117,0.00004216665,0.00002828593,0.00007515542,0.5618477,0.0002621651,0.4090586,0.02827041,0.00002856509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001504994,0.002619593,0.9872476,0.001441896,0.0001136651,0.00007797623,0.0002568045,0.0002314636,0.006506044],"genre_scores_gemma":[0.172396,0.02089339,0.7957317,0.0009099763,0.000463043,0.001820341,0.001388454,0.0006994782,0.005697705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009723782,"threshold_uncertainty_score":0.03125715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07612948014089387,"score_gpt":0.3460915031283436,"score_spread":0.2699620229874498,"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."}}