{"id":"W2938964860","doi":"10.1039/c9ta02264c","title":"Confining ultrasmall bimetallic alloys in porous N–carbon for use as scalable and sustainable electrocatalysts for rechargeable Zn–air batteries","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"National Key Research and Development Program of China; Central South University; Hunan Provincial Science and Technology Department; National Natural Science Foundation of China","keywords":"Bimetallic strip; Bifunctional; Materials science; Nanoporous; Nanotechnology; Mesoporous material; Nanoparticle; Alloy; Carbon fibers; Chemical engineering; Catalysis; Porosity; Metallurgy; Chemistry; Composite material; Metal; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001326734,0.0002957184,0.0007269015,0.000136114,0.00007788194,0.0001392941,0.0002773502,0.0002475021,0.0001491975],"category_scores_gemma":[0.000501156,0.0002840878,0.0001075007,0.0001586517,0.00004091834,0.0005391402,0.0000636101,0.0001525211,0.000003921195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000280796,"about_ca_system_score_gemma":0.0002636106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006176291,"about_ca_topic_score_gemma":0.0000199245,"domain_scores_codex":[0.9978306,0.00004970254,0.0007778942,0.0003425694,0.0002542046,0.0007449921],"domain_scores_gemma":[0.998252,0.0002904118,0.0006431598,0.0002685234,0.0004232614,0.0001226116],"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":[0.001432359,0.0000647568,0.000193185,0.0008018936,0.0001300747,0.0000288335,0.0000748798,0.0001198869,0.996394,0.0005326385,0.0001753718,0.00005214296],"study_design_scores_gemma":[0.002593985,0.0003979708,0.0000503821,0.0001589407,0.00008915809,0.0003017737,0.0002545385,0.00006256211,0.9857342,0.001293897,0.008764816,0.0002977237],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985009,0.000202022,0.00003193745,0.0001899879,0.0001642359,0.000312828,0.000005544206,0.00002478304,0.0005677081],"genre_scores_gemma":[0.9908367,0.00009234639,0.0008692883,0.0001087573,0.0001894786,0.00004534199,0.00007495157,0.00006946996,0.007713607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01065973,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008724302021552692,"score_gpt":0.2183091200212877,"score_spread":0.209584817999735,"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."}}