{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002185546,0.0001435683,0.0001592372,0.0003268611,0.000478193,0.0001677312,0.0007233887,0.0001151374,0.00001438226],"category_scores_gemma":[0.0001697052,0.0001313362,0.00004447966,0.0002471714,0.0001127675,0.0001400942,0.0001081953,0.0004448175,0.0001215579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008394472,"about_ca_system_score_gemma":0.00002242858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001452818,"about_ca_topic_score_gemma":0.00002792935,"domain_scores_codex":[0.9988562,0.00001180189,0.0001201986,0.000207277,0.0002808815,0.0005235937],"domain_scores_gemma":[0.9989707,0.000134554,0.00002528202,0.0007744792,0.00005115952,0.00004378732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005794783,0.0001822376,0.0008302385,0.00009586658,0.000218041,0.0001579428,0.0001287474,0.1991546,0.1582649,0.2823305,0.09740005,0.2611789],"study_design_scores_gemma":[0.0007138167,0.0003830205,0.02444092,0.00008074601,0.00001346888,0.00002868085,0.0001212089,0.04426945,0.837639,0.005793458,0.08585546,0.0006608047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165443,0.001181313,0.0002722311,0.0004553297,0.0001836296,0.00006415165,0.000001821047,0.001219777,0.08007748],"genre_scores_gemma":[0.9971348,0.0007733496,0.0002237976,0.00002518603,0.0001527721,0.00004468518,0.000001250219,0.00003685431,0.001607329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.679374,"threshold_uncertainty_score":0.5355734,"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."}}