{"id":"W2127203110","doi":"10.1115/detc2011-47960","title":"Optimal Hybridization of Battery, Engine and Motor for PHEV20","year":2011,"lang":"en","type":"article","venue":"","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Simon Fraser University","funders":"","keywords":"Powertrain; Automotive engineering; Driving cycle; Battery (electricity); Sizing; Dynamometer; Battery electric vehicle; Engineering; Computer science; Electric vehicle; Power (physics); Torque","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001909133,0.00004696162,0.00006246649,0.00002578788,0.000008227011,0.000002952921,0.00002752465,0.00002470134,0.00009835102],"category_scores_gemma":[0.000003212129,0.00004085094,0.0000141334,0.0000351605,0.000005956688,0.00005205091,0.000004840004,0.0000221233,5.945118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004191433,"about_ca_system_score_gemma":0.000001825566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003775272,"about_ca_topic_score_gemma":4.484305e-7,"domain_scores_codex":[0.9997787,8.740543e-7,0.00007627421,0.00004612699,0.00002370122,0.00007431499],"domain_scores_gemma":[0.9998999,0.000008095794,0.000008590166,0.00004550328,0.00001775773,0.00002015142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001931254,0.0001016649,0.01047846,0.001456407,0.000435061,0.000004106431,0.002708915,0.04510888,0.5446927,0.02274815,0.03089142,0.3411811],"study_design_scores_gemma":[0.0005745084,0.0002424782,0.01390196,0.00001141005,0.0000228171,0.000007452637,0.00003219173,0.5837312,0.39823,0.0007394885,0.002320108,0.0001864352],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7199863,0.0001340953,0.2765661,0.000009989568,0.0000619264,0.0001253226,0.000009825049,0.00007676268,0.003029695],"genre_scores_gemma":[0.9644033,0.00002373961,0.03540565,0.00001502356,0.00003230325,0.000004721786,0.000003494592,0.0000106805,0.0001010686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5386223,"threshold_uncertainty_score":0.1665853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007563196412824076,"score_gpt":0.1736113493590996,"score_spread":0.1660481529462755,"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."}}