{"id":"W2970203945","doi":"10.3390/molecules24173097","title":"Optimization of Membrane Electrode Assembly of PEM Fuel Cell by Response Surface Method","year":2019,"lang":"en","type":"article","venue":"Molecules","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Proton exchange membrane fuel cell; Membrane electrode assembly; Materials science; Anode; Stack (abstract data type); Electrolyte; Membrane; Cathode; Response surface methodology; Current density; Electrode; Voltage; Chemical engineering; Conductivity; Composite material; Analytical Chemistry (journal); Chromatography; Computer science; Chemistry; Electrical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194592,0.001147981,0.001118785,0.0006103186,0.0003901835,0.0007520568,0.0006959895,0.0008929337,0.0009738712],"category_scores_gemma":[0.001129732,0.0004600188,0.0008218427,0.0006296605,0.0002371721,0.0005346867,0.0003837894,0.0007798185,0.0007765808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004930736,"about_ca_system_score_gemma":0.0004721154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000814282,"about_ca_topic_score_gemma":0.001557489,"domain_scores_codex":[0.9992512,0.000149051,0.00005556919,0.0001176743,0.0003473485,0.00007924441],"domain_scores_gemma":[0.9997146,0.0001062731,0.00004241268,0.00002855954,0.00009815138,0.000009985141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001731287,0.0001907664,0.0005975637,0.0004638631,0.000047794,0.0001293434,0.00004268256,0.06305528,0.9164848,0.0006786972,0.0002778978,0.01785816],"study_design_scores_gemma":[0.00002646071,0.0005737941,0.001248655,0.0000142666,0.00004151682,0.00006681316,0.00003687434,0.1463542,0.8479713,0.0002191858,0.003408924,0.0000380223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6880448,0.003303093,0.2990144,0.0003691423,0.000148161,0.0006167425,0.0009302691,0.001253121,0.006320263],"genre_scores_gemma":[0.7598551,0.002088895,0.2346224,0.00006290678,0.00001905332,0.0006741562,0.0008643004,0.0001397115,0.001673558],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001194592,"threshold_uncertainty_score":0.006317675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002983410160367985,"score_gpt":0.1975733004077895,"score_spread":0.1945898902474215,"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."}}