{"id":"W2086280818","doi":"10.1016/j.jpowsour.2004.09.027","title":"A general formulation for a mathematical PEM fuel cell model","year":2004,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrolyte; Proton exchange membrane fuel cell; Chemistry; Momentum (technical analysis); Transport phenomena; Flow (mathematics); Polymer; Thermodynamics; Mechanics; Electrode; Chemical engineering; Catalysis; Materials science; Organic chemistry; Physics; Physical chemistry","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":[0.0004068825,0.0007041871,0.000665272,0.0005319607,0.0006556279,0.001113629,0.001460118,0.002004204,0.008191288],"category_scores_gemma":[0.001004057,0.0003968965,0.001098607,0.0006534171,0.0006228051,0.002010825,0.0009237705,0.00136056,0.001280581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009255343,"about_ca_system_score_gemma":0.00084976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003235537,"about_ca_topic_score_gemma":0.003027618,"domain_scores_codex":[0.9998733,0.00003166662,0.000008586654,0.00002777527,0.00004566424,0.0000130822],"domain_scores_gemma":[0.9998462,0.00005158245,0.00001957694,0.00001854595,0.00005047002,0.00001367219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001055245,0.00003055749,0.0001378494,0.0001332333,0.00001877805,0.000155487,0.00006835697,0.1800149,0.002114596,0.8069737,0.003933711,0.006408298],"study_design_scores_gemma":[0.00001703109,0.00002044777,0.0001379981,0.00002518571,0.00001656488,0.0001403044,0.00003504979,0.7388042,0.0004433373,0.2432857,0.01705514,0.00001913966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01073924,0.0011894,0.9189039,0.003420035,0.0004225929,0.0001144261,0.0008329499,0.0001177488,0.06425967],"genre_scores_gemma":[0.5461237,0.004152916,0.3262395,0.001979763,0.001471565,0.0009734299,0.001428181,0.0003286594,0.1173023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008191288,"threshold_uncertainty_score":0.02740258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008731361661927556,"score_gpt":0.2101631017068377,"score_spread":0.2014317400449101,"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."}}