{"id":"W2074448431","doi":"10.1115/detc2007-35564","title":"Modeling and Simulation of Fuel Cell Elevator Backup Power Systems Using Advanced Vehicle Simulator","year":2007,"lang":"en","type":"article","venue":"Volume 4: ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications and the 19th Reliability, Stress Analysis, and Failure Prevention Conference","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Backup; Elevator; Automotive engineering; Battery (electricity); Electric power system; Hybrid power; Computer science; Supercapacitor; Hybrid system; Power (physics); Engineering; Simulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000949429,0.0002910428,0.0005868386,0.0001731463,0.0002335972,0.000289925,0.0001527801,0.0001676305,0.00001490786],"category_scores_gemma":[0.00001815379,0.0002331208,0.00009658947,0.0001996264,0.0001781572,0.0002380668,0.00006032158,0.0002147731,7.826249e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003661283,"about_ca_system_score_gemma":0.0000397788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003950664,"about_ca_topic_score_gemma":0.0001295628,"domain_scores_codex":[0.9980291,0.0001205738,0.0007873576,0.0005038624,0.0003081675,0.0002509266],"domain_scores_gemma":[0.9986915,0.0001751209,0.000270625,0.0003168944,0.0003946276,0.000151206],"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":[0.0002011603,0.0001234887,0.006259916,0.001196357,0.0008537802,8.360905e-7,0.0008019695,0.8616735,0.002613351,0.121408,0.000002568511,0.004865048],"study_design_scores_gemma":[0.001164124,0.00005094064,0.0004216197,0.0001907005,0.0002974723,0.000003331855,0.002782383,0.99323,0.00002673458,0.001410193,0.0001841561,0.000238316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852141,0.003079007,0.4105153,0.00004572235,0.0001101268,0.000705816,0.00007426447,0.00003446392,0.0002211525],"genre_scores_gemma":[0.9982859,0.001145769,0.0002026646,0.000005379934,0.00006335997,0.00009990479,0.00002272239,0.00001756538,0.0001567414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4130718,"threshold_uncertainty_score":0.9506389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555903962946262,"score_gpt":0.2723574737304752,"score_spread":0.2567984341010126,"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."}}