{"id":"W1982761136","doi":"10.1109/vppc.2010.5729248","title":"Modeling, design, and control of a fuel cell/battery/ultra-capacitor electric vehicle energy storage system","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); Capacitor; Energy storage; Supercapacitor; Automotive engineering; Battery pack; Electrical engineering; Regenerative brake; Electric vehicle; Engineering; Power (physics); Computer science; Voltage; Capacitance; Electrode","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":[0.0002861903,0.000751311,0.0008700275,0.0002817892,0.0007822019,0.001463312,0.001519437,0.001013713,0.004445935],"category_scores_gemma":[0.0002281627,0.0004432269,0.0006146837,0.0002703418,0.0005428988,0.0007184956,0.0006019544,0.0008186209,0.001014807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007944982,"about_ca_system_score_gemma":0.001164826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00827157,"about_ca_topic_score_gemma":0.006049594,"domain_scores_codex":[0.9997761,0.00003455713,0.00001452253,0.00005346803,0.00008619149,0.00003524301],"domain_scores_gemma":[0.9998714,0.00002054409,0.00003050746,0.00001281496,0.00005284435,0.0000119914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001729938,0.0000980998,0.001086038,0.0002378569,0.00007347981,0.0003460679,0.0001585854,0.9174394,0.03333035,0.01118808,0.001907395,0.03396179],"study_design_scores_gemma":[0.00002950152,0.00009933317,0.0002988671,0.00001019289,0.00002549912,0.00004365275,0.00001657333,0.9929294,0.003304893,0.0008449095,0.002386612,0.00001062171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04691888,0.0008576869,0.9147069,0.000587022,0.0002553937,0.0002477002,0.0003583207,0.001834601,0.03423338],"genre_scores_gemma":[0.9614363,0.0005309694,0.02563572,0.0001005365,0.00005079901,0.000359167,0.0001716638,0.00005998466,0.01165489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00827157,"threshold_uncertainty_score":0.01644683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008810179976104974,"score_gpt":0.2044475138835096,"score_spread":0.1956373339074046,"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."}}