{"id":"W2563345822","doi":"","title":"Design and Evaluation of Hybrid Energy Storage Systems for Electric Powertrains","year":2010,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland; University of Waterloo; University of Windsor; University of Ontario Institute of Technology","keywords":"Powertrain; Energy storage; Automotive engineering; Computer science; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003170743,0.0001715419,0.0003235838,0.0005050041,0.00006387414,0.000009590216,0.0002668225,0.0002419612,0.00001805979],"category_scores_gemma":[0.00003655539,0.0002098094,0.00005637029,0.0001658097,0.00004587095,0.0001379233,0.00002272368,0.0002248377,0.000001062871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125421,"about_ca_system_score_gemma":0.00006410687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081125,"about_ca_topic_score_gemma":0.001173819,"domain_scores_codex":[0.9990525,0.0000474355,0.0001107113,0.0002163402,0.0003437456,0.0002293316],"domain_scores_gemma":[0.9991357,0.00008633009,0.0001182603,0.0002566054,0.0003641295,0.00003901397],"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":[0.0003772516,0.00007640287,0.00001648549,0.002665029,0.0004964829,0.00002047743,0.01161053,0.1693323,0.7505727,0.000405589,0.002651283,0.0617754],"study_design_scores_gemma":[0.00122751,0.0003345002,0.0002214451,0.0001893744,0.0002753345,0.000006981371,0.02045434,0.8461565,0.1296103,0.0005726867,0.0004889352,0.0004620582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746741,0.001000857,0.02317869,0.00002232767,0.0002311887,0.0006447695,0.00003608262,0.0001283243,0.00008366099],"genre_scores_gemma":[0.9758273,0.0008258455,0.003198789,6.859916e-7,0.00001711252,0.000008675443,0.0003108532,0.00005730874,0.01975337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6768242,"threshold_uncertainty_score":0.8555777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731938951545254,"score_gpt":0.2331818210655213,"score_spread":0.2158624315500688,"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."}}