{"id":"W2115379158","doi":"10.1109/tec.2007.914170","title":"PEM Fuel Cells Modeling and Analysis Through Current and Voltage Transient Behaviors","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Transient (computer programming); Cathode; Voltage; Current (fluid); Diffusion; Capacitance; Electrolyte; Proton exchange membrane fuel cell; Mechanics; Electrical engineering; Steady state (chemistry); Materials science; Nuclear engineering; Chemistry; Computer science; Engineering; Fuel cells; Physics; Thermodynamics; Electrode; Chemical 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":[0.00003445201,0.0001831951,0.0002243834,0.0001760645,0.0001612643,0.00001731572,0.00004584767,0.000124169,0.00008855549],"category_scores_gemma":[1.224967e-7,0.0001731515,0.0001040806,0.000218394,0.00005055243,0.0001397327,9.422742e-7,0.0001391792,0.000005311357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003455834,"about_ca_system_score_gemma":0.000007284817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000157168,"about_ca_topic_score_gemma":0.00001307128,"domain_scores_codex":[0.9992414,0.0000169159,0.0001963853,0.0002327851,0.0001318826,0.0001806711],"domain_scores_gemma":[0.9997173,0.00001699742,0.0000177634,0.0001339836,0.00002173859,0.00009219712],"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":[0.00002366336,0.00006694237,0.000004104961,0.0001449175,0.0001613393,0.0000137323,0.0008394524,0.9616727,0.03583244,0.00000456924,0.00004130012,0.001194879],"study_design_scores_gemma":[0.0008110213,0.00007386185,0.00001981998,0.00004116378,0.0008092506,0.00001556543,0.0001069925,0.8517483,0.1432204,0.00001945319,0.002750122,0.0003840424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.544277,0.001985608,0.4523174,0.000009868496,0.000943753,0.00005611729,0.00002994807,0.0001409499,0.0002393621],"genre_scores_gemma":[0.9600725,0.03959366,0.0001687531,0.00001254883,0.00001569852,0.000007084265,0.00000821116,0.00002316409,0.00009837438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4521487,"threshold_uncertainty_score":0.7060915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254090089504234,"score_gpt":0.2005077344876628,"score_spread":0.1879668335926205,"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."}}