{"id":"W2779067928","doi":"10.3390/en11010034","title":"Research on a Novel Hydraulic/Electric Synergy Bus","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Powertrain; Automotive engineering; Fuel efficiency; MATLAB; Hydraulic accumulator; Driving cycle; Electric vehicle; Accumulator (cryptography); Battery (electricity); Hybrid vehicle; Regenerative brake; Computer science; Engineering; Torque; Power (physics); Mechanical 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":[0.000164446,0.0002519277,0.0001746459,0.0003418245,0.0003072277,0.0005735551,0.000463441,0.0002259351,0.003616591],"category_scores_gemma":[0.0001096735,0.0001372266,0.0002114273,0.0003596939,0.0002211271,0.0009330857,0.000423992,0.000267402,0.0005538196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221898,"about_ca_system_score_gemma":0.0005724874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713878,"about_ca_topic_score_gemma":0.002306752,"domain_scores_codex":[0.9998981,0.00001210638,0.00000320551,0.00002016357,0.00005260124,0.00001382367],"domain_scores_gemma":[0.9999548,0.000004865892,0.00000498096,0.000004531831,0.0000200325,0.00001070593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003987162,0.0003992931,0.008253759,0.0008350069,0.000112506,0.0007283845,0.0004197458,0.303691,0.1682591,0.1767078,0.004729883,0.3354649],"study_design_scores_gemma":[0.0001059707,0.002201535,0.006051784,0.00006914185,0.00009296169,0.0006973673,0.0007938294,0.7803578,0.07710078,0.02105004,0.111402,0.0000767047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5790353,0.001937176,0.3018824,0.0008113205,0.0001943661,0.0002348334,0.0002622744,0.0009565154,0.1146858],"genre_scores_gemma":[0.9603008,0.0009118458,0.02221766,0.00004127123,0.00002701009,0.00005184417,0.0002046115,0.00002048318,0.0162245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003616591,"threshold_uncertainty_score":0.01209873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04997138662135853,"score_gpt":0.3079643844876614,"score_spread":0.2579929978663029,"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."}}