{"id":"W4389159730","doi":"10.1109/mele.2023.3320509","title":"Zero-Emission Marine Vessels: Multidomain Modeling and Real-Time Hardware-in-the-Loop Emulation on Adaptive Compute Acceleration Platform: Zero-emission marine vessels: modeling and real-time emulation","year":2023,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Emulation; Acceleration; Transient (computer programming); Proton exchange membrane fuel cell; Zero emission; Hardware-in-the-loop simulation; Simulation; Converters; Computer science; Engineering; Voltage; Electrical engineering; Fuel cells; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009662808,0.0005037882,0.0004716678,0.0009137084,0.0003700709,0.000172292,0.0003459823,0.0003815229,0.00001617687],"category_scores_gemma":[0.0002019478,0.0004794954,0.00005556877,0.001475502,0.00005451181,0.0008986723,0.0001028013,0.000644617,0.00009887385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816025,"about_ca_system_score_gemma":0.00004356194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007439662,"about_ca_topic_score_gemma":0.000005650428,"domain_scores_codex":[0.9967873,0.0001462937,0.0008587833,0.0008423012,0.0006664713,0.0006989129],"domain_scores_gemma":[0.9983716,0.0003983981,0.0001753764,0.0006740514,0.0002411178,0.0001394336],"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":[0.0002046438,0.00003829524,0.0001120951,0.00006037888,0.00001744819,0.000006730433,0.0001652142,0.5110556,0.4501567,0.00009659105,0.0005551637,0.03753116],"study_design_scores_gemma":[0.001157618,0.0001788081,0.002493335,0.0001574132,0.00002298122,0.00001293067,0.00004020816,0.9746118,0.01603638,0.00477419,0.00005783224,0.0004565666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8242458,0.0000543943,0.172061,0.0003890728,0.0000836628,0.001196161,0.00001363277,0.001288241,0.0006680312],"genre_scores_gemma":[0.9893945,0.003142698,0.005600628,0.00002636654,0.0001224863,0.0001499135,0.0007344586,0.0001295664,0.0006993815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4635561,"threshold_uncertainty_score":0.9997657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04053067821043184,"score_gpt":0.2864858421839395,"score_spread":0.2459551639735077,"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."}}