{"id":"W2113771472","doi":"10.1109/pes.2009.5275853","title":"A generic fuel cell model for the simulation of Fuel Cell Power Systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec","funders":"","keywords":"Datasheet; Stack (abstract data type); Backup; Computer science; Range (aeronautics); Power (physics); Fault (geology); Automotive engineering; Simulation; Transient (computer programming); Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00009347352,0.000111202,0.0001480518,0.00003124749,0.00002336284,0.00002607201,0.00009555489,0.0001071369,0.00003412306],"category_scores_gemma":[0.000002074201,0.00007030704,0.00006351004,0.00006063205,0.000007516656,0.00004885271,0.00000718416,0.00004229041,0.00001446822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001689418,"about_ca_system_score_gemma":0.000008074334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007240255,"about_ca_topic_score_gemma":4.663368e-7,"domain_scores_codex":[0.9994236,0.000006719833,0.0002381469,0.00009186221,0.00008436906,0.0001553447],"domain_scores_gemma":[0.9996535,0.00005463214,0.00004038759,0.0001810558,0.0000416838,0.00002870214],"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":[0.000007509641,0.00001993191,3.487574e-7,0.0008966966,0.000008458805,2.114302e-7,0.0001958187,0.972764,0.02526437,0.00004324105,0.0007862187,0.00001317343],"study_design_scores_gemma":[0.0002854077,0.00003620282,0.000003948579,0.000008612877,0.00002529977,3.301001e-7,0.00004288334,0.9924517,0.00430776,0.0002359771,0.002500968,0.000100871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04186384,0.06476648,0.5022452,0.00009505865,0.002766151,0.002140526,0.00007374642,0.0006087064,0.3854402],"genre_scores_gemma":[0.9959355,0.0008927077,0.0007598119,0.00002868022,0.000038213,0.000009337467,0.000004791756,0.00002210754,0.00230883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9540717,"threshold_uncertainty_score":0.2867038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305577105467362,"score_gpt":0.203849028716614,"score_spread":0.1907932576619403,"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."}}