{"id":"W2347513185","doi":"","title":"Research on HEV Drive Characteristics Based on ADBRM","year":2008,"lang":"en","type":"article","venue":"Zhongguo jixie gongcheng","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Powertrain; Automotive engineering; Driving cycle; Rotor (electric); Differential (mechanical device); Control theory (sociology); Fuel efficiency; Computer science; Hybrid vehicle; Torque; Control engineering; Engineering; Electric vehicle; Mechanical engineering; Artificial intelligence; Physics; Power (physics); Control (management)","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":[0.0002822665,0.0002203831,0.0002126492,0.0009441521,0.0002148627,0.0004555534,0.0002596932,0.0002846102,0.001880082],"category_scores_gemma":[0.0009390367,0.0001057278,0.0001338996,0.0006078818,0.0001421351,0.0005549148,0.0001892967,0.0001834341,0.000504694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654734,"about_ca_system_score_gemma":0.0001237827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290235,"about_ca_topic_score_gemma":0.001651198,"domain_scores_codex":[0.9997758,0.00002648308,0.00001287152,0.00004092363,0.0001219598,0.00002200108],"domain_scores_gemma":[0.9994728,0.0001662957,0.00004098378,0.00003361455,0.0002700757,0.0000161917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001334604,0.0001543079,0.09501436,0.001208633,0.0001126344,0.0008744454,0.001749114,0.09958071,0.2833626,0.01369857,0.004109024,0.498801],"study_design_scores_gemma":[0.00004463155,0.001327311,0.1339879,0.0001043259,0.00006903143,0.001594022,0.001635589,0.7406996,0.08402632,0.003923515,0.03248689,0.0001008011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8800874,0.00144254,0.08461908,0.0001926095,0.00006304298,0.0000905202,0.0002863233,0.000481043,0.03273753],"genre_scores_gemma":[0.9966478,0.0001183349,0.001312895,0.000009559776,0.000004825072,0.000009713488,0.000111389,0.00001104844,0.001774372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002290235,"threshold_uncertainty_score":0.006289482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05231587255306802,"score_gpt":0.2817521041991747,"score_spread":0.2294362316461067,"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."}}