{"id":"W4377226692","doi":"10.1021/acsenergylett.3c00878","title":"Stainless Steel Felt as a Combined OER Electrocatalyst/Porous Transport Layer for Investigating Anion-Exchange Membranes in Water Electrolysis","year":2023,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Oxygen evolution; Electrocatalyst; Electrolysis; Anode; Chemical engineering; Electrolysis of water; Materials science; Cathode; Catalysis; Water splitting; Hydrogen production; Porosity; Ion exchange; Membrane; Inorganic chemistry; Chemistry; Electrode; Ion; Electrochemistry; Composite material; Organic chemistry; Physical chemistry; Electrolyte","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":[0.0002847299,0.0003855445,0.0002380618,0.0002452939,0.0001432653,0.0003385769,0.0002889399,0.0004876204,0.0008347434],"category_scores_gemma":[0.0002480186,0.0001751113,0.0002451978,0.0001690319,0.0002082954,0.0004469146,0.000193921,0.0003286021,0.0002205039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178899,"about_ca_system_score_gemma":0.00008139007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003163501,"about_ca_topic_score_gemma":0.000542948,"domain_scores_codex":[0.9998277,0.00002445206,0.00001337148,0.00004438815,0.00005974799,0.00003035097],"domain_scores_gemma":[0.9999212,0.00002523619,0.00001686877,0.000008152541,0.0000183464,0.00001012458],"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":[0.00001748737,0.00001076933,0.00006383999,0.0000407404,0.000002065492,0.0000389087,0.0000104358,0.00005412524,0.9987462,0.0000859079,0.0000195805,0.000910057],"study_design_scores_gemma":[0.000007183932,0.0001547098,0.0006560878,0.000004266629,0.0000068498,0.00006688767,0.00001962002,0.0008853558,0.9973586,0.0000271306,0.000809253,0.000004022928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822168,0.001607747,0.0137091,0.0001027891,0.00006935173,0.0000655459,0.0001516371,0.00008458415,0.001992464],"genre_scores_gemma":[0.9867552,0.0008796407,0.01085791,0.00002587306,0.00001507752,0.00002337008,0.00008270303,0.00001634051,0.001343884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008347434,"threshold_uncertainty_score":0.002792478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228921015089002,"score_gpt":0.2246875306953074,"score_spread":0.2123983205444174,"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."}}