{"id":"W4283689747","doi":"10.1021/acsami.2c04786","title":"General Carbon-Supporting Strategy to Boost the Oxygen Reduction Activity of Zeolitic-Imidazolate-Framework-Derived Fe/N/Carbon Catalysts in Proton Exchange Membrane Fuel Cells","year":2022,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Science and Technology of the People's Republic of China; Jiangsu University; National Natural Science Foundation of China","keywords":"Zeolitic imidazolate framework; Materials science; Proton exchange membrane fuel cell; Catalysis; Carbon fibers; Oxygen reduction reaction; Fuel cells; Chemical engineering; Oxygen reduction; Oxygen; Inorganic chemistry; Imidazolate; Polyoxometalate; Metal-organic framework; Adsorption; Electrochemistry; Organic chemistry; Electrode; Chemistry; Physical chemistry; Composite material; Composite number","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":[0.00007761281,0.00059314,0.0002343047,0.000258352,0.0001347462,0.0001949778,0.0004343228,0.0004104506,0.0004207306],"category_scores_gemma":[0.00009445325,0.0001563533,0.0002341005,0.0001887174,0.0001221487,0.0002356722,0.0001833846,0.0003425675,0.0002399114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003135366,"about_ca_system_score_gemma":0.0001648132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00075493,"about_ca_topic_score_gemma":0.001812676,"domain_scores_codex":[0.9999324,0.000005520947,0.000007898638,0.00001642241,0.00002216656,0.00001556462],"domain_scores_gemma":[0.9999732,0.000002681513,0.000008045495,0.000003380904,0.000007272513,0.000005540836],"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":[0.00003305851,0.00002351086,0.00004902524,0.00008577768,0.000006187601,0.00006830365,0.000006873194,0.0002793743,0.9968737,0.0001891937,0.00003489068,0.002350088],"study_design_scores_gemma":[0.000009483258,0.00007598716,0.0003870653,0.0000039099,0.000008148949,0.00006679738,0.000004814647,0.001141975,0.9973059,0.0000302784,0.0009603566,0.000005205746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811873,0.002317238,0.01162423,0.000119472,0.00005823418,0.0001193596,0.0002510007,0.0001594957,0.00416354],"genre_scores_gemma":[0.988242,0.000867679,0.009765469,0.00002714686,0.000008630746,0.00003340248,0.0001495558,0.00001267055,0.0008934711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00075493,"threshold_uncertainty_score":0.002274871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242549656601527,"score_gpt":0.2421113047951976,"score_spread":0.2296858082291823,"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."}}