{"id":"W4405267439","doi":"10.1016/j.enconman.2024.119374","title":"Investigating the impact of a fuel cell system air supply control on the performance of an energy management strategy","year":2024,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Fuel cells; Energy management; Energy supply; Control (management); Environmental science; Energy (signal processing); Automotive engineering; Engineering; Computer science; Chemical engineering","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":[0.0001689462,0.0001426948,0.00013857,0.000131392,0.00006198727,0.00002399691,0.0002196026,0.00003400772,0.00001126455],"category_scores_gemma":[6.601152e-7,0.00008102127,0.00006096189,0.0002185079,0.00007029818,0.00006796246,0.00006395272,0.00007817127,0.000001767374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005959617,"about_ca_system_score_gemma":0.000006996545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475672,"about_ca_topic_score_gemma":0.000003360139,"domain_scores_codex":[0.9993144,0.00003216264,0.0001816591,0.0001463407,0.0001552406,0.0001702448],"domain_scores_gemma":[0.9996137,0.00004960489,0.00004020144,0.0002527629,0.0000134184,0.00003031435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005514069,0.00007941853,0.0003398882,0.004829375,0.001088291,0.00005895329,0.0002441739,0.2792318,0.001504258,0.6049007,0.009398357,0.09826969],"study_design_scores_gemma":[0.0005478669,0.0004783086,0.00245585,0.0003146511,0.0001053192,0.000004170389,0.001338163,0.9760121,0.01462201,0.0002160639,0.00372652,0.000179005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975311,0.002082566,0.0008744104,0.0001525496,0.0001162615,0.0002047726,0.000007020849,0.000360363,0.02089107],"genre_scores_gemma":[0.9968415,0.002598103,0.00003226507,0.00005376144,0.00001363428,0.00003161103,0.000003536212,0.000014923,0.0004106341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6967803,"threshold_uncertainty_score":0.3303951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005093662753691177,"score_gpt":0.1820077135678197,"score_spread":0.1769140508141285,"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."}}