{"id":"W2040643126","doi":"10.1021/es203981a","title":"Implications of Driving Patterns on Well-to-Wheel Performance of Plug-in Hybrid Electric Vehicles","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Electricity; Environmental science; Automotive engineering; Fossil fuel; Internal combustion engine; Mains electricity; Electricity generation; Coal; Gasoline; Electric vehicle; Environmental engineering; Engineering; Waste management; Power (physics); Ecology; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001173339,0.00009610605,0.0001254653,0.0005500476,0.00005018591,0.000002817931,0.000366126,0.00005516298,0.00004108053],"category_scores_gemma":[0.000007008072,0.00009332327,0.00001920113,0.0008761677,0.0001580275,0.0001473841,0.00007395302,0.0001690626,0.00002007089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001940324,"about_ca_system_score_gemma":0.000008010592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000343756,"about_ca_topic_score_gemma":0.000001171545,"domain_scores_codex":[0.9991067,0.000003902455,0.0001907021,0.0001500808,0.0001478418,0.0004007815],"domain_scores_gemma":[0.9996423,0.00001230128,0.00004211399,0.0002466597,0.000002707789,0.00005392859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[7.721327e-7,0.00002662794,0.4654695,0.000004161003,0.000001366873,1.019135e-7,0.00002500681,0.002015053,0.5089079,0.000178721,0.000008014702,0.02336278],"study_design_scores_gemma":[0.00004431742,0.00008196588,0.5086977,0.000008882933,0.000001434435,0.000006584207,0.00001786297,0.001871933,0.4890606,0.00004563421,0.0001062937,0.00005669102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988105,0.00009315609,0.0002780379,0.00007543498,0.00003734612,0.0001156504,0.000004406515,0.00004651918,0.0005389504],"genre_scores_gemma":[0.9995553,0.0001039501,0.0002762036,0.00002142775,0.00001134026,0.00001398115,9.187156e-7,0.00001007124,0.000006784467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04322823,"threshold_uncertainty_score":0.3805613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002766057134710182,"score_gpt":0.1828272651337527,"score_spread":0.1800612079990426,"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."}}