{"id":"W4413209732","doi":"10.1016/j.egycc.2025.100211","title":"Transportation in net-zero emissions futures: Insights from the EMF-37 model intercomparison study","year":2025,"lang":"en","type":"article","venue":"Energy and Climate Change","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; HEC Montréal","funders":"National Energy Technology Laboratory; National Renewable Energy Laboratory; U.S. Department of Energy","keywords":"Futures contract; Environmental science; Net (polyhedron); Zero (linguistics); Meteorology; Climatology; Economics; Geography; Mathematics; Geology; Financial economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003988883,0.0001097258,0.0001237108,0.00004308443,0.0001344664,0.00002106788,0.00009167308,0.00006516256,0.000017339],"category_scores_gemma":[0.000001472558,0.0000759618,0.00002039935,0.0001553835,0.00001088248,0.0001064148,0.00001442556,0.0001159467,8.709362e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001489736,"about_ca_system_score_gemma":0.000004757137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003138296,"about_ca_topic_score_gemma":0.007954834,"domain_scores_codex":[0.999506,0.00001812944,0.0001604486,0.0001273747,0.0000548961,0.0001331594],"domain_scores_gemma":[0.9997725,0.00003348886,0.00001406279,0.0001369225,0.000007868275,0.00003513133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004255602,0.00117219,0.2558145,0.0003736672,0.0002980082,0.00005879055,0.222112,0.2073485,0.006247828,0.03602093,0.01528088,0.2548471],"study_design_scores_gemma":[0.001023422,0.00004992716,0.2263628,0.0004004394,0.00004243997,2.85532e-7,0.007307502,0.751287,0.0007563553,0.001788955,0.0106903,0.0002905839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944509,0.002873907,0.0007984153,0.000107502,0.000190703,0.00008681278,0.00002132846,0.0000631055,0.001407286],"genre_scores_gemma":[0.9968915,0.00267749,0.00002556566,0.0001614329,0.00005786944,0.00007230081,0.00004438859,0.000009532283,0.00005993821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5439385,"threshold_uncertainty_score":0.4438984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406059594409783,"score_gpt":0.2498409584575832,"score_spread":0.2257803625134853,"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."}}