{"id":"W2056231479","doi":"10.1039/b804654a","title":"Multi-objective optimization of a polymer electrolyte fuel cell membrane electrode assembly","year":2008,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electrolyte; Electrode; Proton exchange membrane fuel cell; Membrane electrode assembly; Voltage; Optimization problem; Mathematical optimization; Membrane; Computer science; Porosity; Materials science; Fuel cells; Process engineering; Chemical engineering; Engineering; Algorithm; Chemistry; Mathematics; Electrical engineering; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008532579,0.0009385988,0.0009712225,0.0005481259,0.0003609704,0.0009344242,0.0007054103,0.001263235,0.001862754],"category_scores_gemma":[0.001023211,0.0005491109,0.0007002268,0.0004845712,0.0004626444,0.0005565778,0.0005735972,0.0007616952,0.0002652892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008521013,"about_ca_system_score_gemma":0.0009365901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004631516,"about_ca_topic_score_gemma":0.003191134,"domain_scores_codex":[0.9997521,0.00009721491,0.000007367516,0.00003991024,0.0000677623,0.00003554989],"domain_scores_gemma":[0.9996449,0.0002232776,0.00003659581,0.0000126547,0.00006264058,0.00001991588],"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":[0.00001499314,0.00001295877,0.00006339757,0.00002141698,0.000008277972,0.00002026082,0.000003664475,0.9955528,0.0009514935,0.0006196909,0.00006510998,0.002665977],"study_design_scores_gemma":[0.000004561892,0.00001804117,0.00003680911,0.00000143923,0.000002818351,0.000003714689,0.000001868326,0.9990185,0.0006285372,0.0001775567,0.0001039294,0.000002168417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320362,0.0007547915,0.8584531,0.0002956557,0.00004907989,0.0001138833,0.0001638887,0.0002849509,0.007848568],"genre_scores_gemma":[0.8020027,0.0003462611,0.1920093,0.00008472046,0.00002017237,0.0002798803,0.0001584372,0.0000715855,0.005026939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004631516,"threshold_uncertainty_score":0.009209096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00355023386320739,"score_gpt":0.1618918737680516,"score_spread":0.1583416399048442,"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."}}