{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002550295,0.0001047358,0.0002183265,0.00004092065,0.000006839203,0.000007844907,0.00009410928,0.0001110364,0.0001220641],"category_scores_gemma":[0.00001243372,0.00009778004,0.00004445449,0.0001099904,0.000009922537,0.00003835431,0.0000151217,0.00005947024,0.00001456167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001381535,"about_ca_system_score_gemma":0.00001298941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001540598,"about_ca_topic_score_gemma":2.471985e-7,"domain_scores_codex":[0.9993213,0.00009789159,0.0002246436,0.0001088559,0.0001101315,0.0001372165],"domain_scores_gemma":[0.9996184,0.00008104351,0.00006226635,0.000172694,0.00003945129,0.00002616389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005840154,0.000011586,0.000001995241,0.0004433399,0.00001312048,5.050821e-7,0.00004397502,0.4700663,0.5291751,0.000004833875,0.0001763563,0.000004448612],"study_design_scores_gemma":[0.0002791682,0.0000671151,0.000008416368,0.00002044652,0.0000173468,0.000001076731,0.00001465754,0.09962388,0.8992779,0.000009915978,0.0005875215,0.00009257612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674183,0.004505122,0.0156964,0.00002686215,0.0001941252,0.0001744698,0.00003217281,0.00007806268,0.01187449],"genre_scores_gemma":[0.9628555,0.00108574,0.03529807,0.000007863628,0.000005088576,0.000001398018,0.00001970392,0.00003947676,0.000687191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3704424,"threshold_uncertainty_score":0.3987354,"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."}}