{"id":"W4411690733","doi":"10.1016/j.memsci.2025.124267","title":"Enhanced Graphene Oxide-Nafion® membranes for proton exchange membrane water electrolysis","year":2025,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal; École de Technologie Supérieure","funders":"Mitacs","keywords":"Membrane; Nafion; Electrolysis; Oxide; Graphene; Chemical engineering; Proton; Electrolysis of water; Proton exchange membrane fuel cell; Materials science; Chemistry; Inorganic chemistry; Electrode; Organic chemistry; Electrochemistry; Electrolyte; Engineering; Physics; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001753488,0.0002388405,0.0005086935,0.0007114585,0.0002188269,0.0001473699,0.0006544901,0.0001290987,0.0001438917],"category_scores_gemma":[0.00009122623,0.0001558209,0.0002236318,0.0008074774,0.0001899291,0.000546745,0.00004677079,0.0002262402,0.0000105617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009099772,"about_ca_system_score_gemma":0.0001117444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000564109,"about_ca_topic_score_gemma":0.000002309424,"domain_scores_codex":[0.9979174,0.00003302894,0.000705193,0.0002454291,0.0004882759,0.0006106753],"domain_scores_gemma":[0.9990054,0.00008127216,0.0001408202,0.000257247,0.0003697247,0.0001455438],"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":[0.0001088776,0.00003413604,0.000001652276,0.002885883,0.00007658479,0.000006365485,0.0001625,0.01438038,0.9817381,0.00003972316,0.00009324007,0.0004725572],"study_design_scores_gemma":[0.0009790395,0.0001120473,0.00001023849,0.0001795185,0.00008973142,0.00003424297,0.00003366853,0.002490521,0.9839668,0.00049318,0.01141742,0.0001935872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974706,0.005958474,0.00522818,0.0007238521,0.003542694,0.001118825,0.000007973307,0.0001495287,0.008564486],"genre_scores_gemma":[0.9910281,0.006778688,0.001248434,0.0001052598,0.0001657184,0.00005503649,0.00000194067,0.00002838336,0.0005884531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163221,"threshold_uncertainty_score":0.6354191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00573885637681769,"score_gpt":0.2263296870012577,"score_spread":0.22059083062444,"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."}}