{"id":"W7111489081","doi":"","title":"Optimization of energy management in heavy-duty fuel cell hybrid electric vehicle conversion: enhancing lifetime and efficiency with fuzzy logic-based strategies","year":2024,"lang":"en","type":"other","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Truck; Green vehicle; Greenhouse gas; Miles per gallon gasoline equivalent; Battery (electricity); Fuel efficiency; Sustainable transport; Electric vehicle; Automotive industry","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":[0.0003815404,0.0007304508,0.000514671,0.0004833422,0.0005110555,0.001514143,0.000891004,0.0008508895,0.002958969],"category_scores_gemma":[0.000431585,0.0003196397,0.0006805323,0.0003239642,0.0002864089,0.0008163584,0.0005599292,0.000581398,0.0003168822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008588998,"about_ca_system_score_gemma":0.0007512409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006597265,"about_ca_topic_score_gemma":0.007562923,"domain_scores_codex":[0.9998697,0.00002146107,0.000006502922,0.00002813363,0.00004029584,0.0000337985],"domain_scores_gemma":[0.9998698,0.00005418898,0.00001799769,0.000004464958,0.00004402874,0.000009474736],"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":[0.0001673872,0.0002701588,0.001241899,0.0002678127,0.00005542758,0.0002476749,0.00009022827,0.8864097,0.0131881,0.008052745,0.001177458,0.08883142],"study_design_scores_gemma":[0.00001739006,0.0001541905,0.0004162488,0.00003755325,0.00002950091,0.00004013574,0.00008780842,0.9903008,0.003135555,0.004062998,0.00170349,0.00001440606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2062426,0.004625794,0.7250079,0.0007581473,0.0001675334,0.0003278772,0.000207261,0.000296989,0.06236597],"genre_scores_gemma":[0.9677385,0.0008853985,0.02680765,0.00008127194,0.00001617478,0.00008681918,0.00007360375,0.00001579482,0.0042948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006597265,"threshold_uncertainty_score":0.01311773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006310737102042421,"score_gpt":0.2263512282134774,"score_spread":0.220040491111435,"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."}}