{"id":"W2214054992","doi":"10.1109/vppc.2015.7352934","title":"Economy-Focused PHEV Battery Lifetime Management through Optimal Fuel Cell Load Sharing","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Centers for Disease Control and Prevention; Hydro-Québec; U.S. Department of Defense","keywords":"Battery (electricity); Automotive engineering; Energy management; Computer science; Driving cycle; State of charge; Proton exchange membrane fuel cell; Process (computing); Electric vehicle; Fuel cells; Energy (signal processing); Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585785,0.0004703256,0.0003981351,0.0002217874,0.000295875,0.0007358204,0.0007905222,0.0003692121,0.0009552858],"category_scores_gemma":[0.0005124132,0.0001229858,0.000179553,0.0001930671,0.0002724659,0.0008414905,0.0005978115,0.000276119,0.0001328756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004700298,"about_ca_system_score_gemma":0.000483398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599067,"about_ca_topic_score_gemma":0.001987289,"domain_scores_codex":[0.999844,0.00002771709,0.000006022094,0.0000341848,0.00004259337,0.00004554787],"domain_scores_gemma":[0.9998637,0.00003787526,0.00003007109,0.00001784246,0.00003675543,0.00001379942],"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":[0.0001588059,0.0001005636,0.001126729,0.00005000606,0.00003203994,0.0001165247,0.0000690976,0.9314403,0.01531093,0.007133601,0.0006091869,0.0438522],"study_design_scores_gemma":[0.00001065212,0.00006759782,0.0004552376,0.000003571235,0.00001261626,0.00004524884,0.0000596865,0.9869647,0.006068278,0.005505662,0.0007993967,0.000007336257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4339014,0.0003748558,0.5456407,0.000358861,0.00004233306,0.0000855551,0.0001060019,0.0003154923,0.01917479],"genre_scores_gemma":[0.9969975,0.00002510533,0.002385567,0.000009881688,0.000003289126,0.000007280333,0.000007692271,0.000006071893,0.0005575253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001599067,"threshold_uncertainty_score":0.00341028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018415717436057,"score_gpt":0.2566489160588118,"score_spread":0.2264647588844512,"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."}}