{"id":"W4407275816","doi":"10.1016/j.epsr.2025.111495","title":"Coordinated control strategy for hybrid multi-PEMFC/BESS in a shipboard power system","year":2025,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Korea Institute of Energy Technology Evaluation and Planning; Information Technology Research Centre; Ministry of Trade, Industry and Energy","keywords":"Electric power system; Proton exchange membrane fuel cell; Engineering; Power (physics); Control engineering; Control (management); Automotive engineering; Computer science; Fuel cells; Artificial intelligence; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000355159,0.0007182436,0.0009158873,0.0003353073,0.0007724454,0.001290746,0.0008586175,0.0007468011,0.002185291],"category_scores_gemma":[0.0003509597,0.0002795092,0.0003345563,0.0003647043,0.0003901577,0.0004736593,0.0007425906,0.000521228,0.0002372785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451346,"about_ca_system_score_gemma":0.000519896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008109648,"about_ca_topic_score_gemma":0.01054081,"domain_scores_codex":[0.9997669,0.00004069839,0.00001508927,0.0000673484,0.00005222867,0.00005770852],"domain_scores_gemma":[0.9997594,0.00004167576,0.00004498728,0.00001731756,0.0001058186,0.00003083667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007525943,0.0001968102,0.001405378,0.000197614,0.0001807865,0.0009532702,0.0001780771,0.9232547,0.0187976,0.003827711,0.002605261,0.04765019],"study_design_scores_gemma":[0.00005866489,0.0001807087,0.000634215,0.00000563224,0.00003721347,0.00004271203,0.00003874474,0.9967404,0.001341548,0.0005181458,0.0003935802,0.000008473883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5035985,0.0009871038,0.4620943,0.0008164287,0.000461202,0.0001904668,0.0002012615,0.0009067741,0.03074387],"genre_scores_gemma":[0.9968004,0.00003415901,0.002135506,0.00002334931,0.00001460038,0.00001805207,0.0000106856,0.00000486378,0.0009583629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008109648,"threshold_uncertainty_score":0.0161249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673862256085778,"score_gpt":0.3110775918223939,"score_spread":0.2843389692615361,"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."}}