{"id":"W4391361227","doi":"10.1002/cey2.477","title":"Building Fe atom–cluster composite sites using a site occupation strategy to boost electrochemical oxygen reduction","year":2024,"lang":"en","type":"article","venue":"Carbon Energy","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Shenzhen University; National Natural Science Foundation of China","keywords":"Cluster (spacecraft); Electrochemistry; Composite number; Reduction (mathematics); Atom (system on chip); Materials science; Oxygen reduction; Chemistry; Computer science; Composite material; Electrode; Physical chemistry; Geometry; Mathematics; Embedded system","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":[0.000194387,0.0004073226,0.000332094,0.0005452908,0.000140844,0.0001918515,0.000242686,0.0002815544,0.00003609913],"category_scores_gemma":[0.00002542515,0.0004330063,0.0001808119,0.001118113,0.00004915175,0.0003226633,0.0001359278,0.0002728334,0.00003341061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102599,"about_ca_system_score_gemma":0.0001484753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003414497,"about_ca_topic_score_gemma":0.0003969269,"domain_scores_codex":[0.9974146,0.0001112785,0.0004328473,0.0008399669,0.0005059537,0.0006952872],"domain_scores_gemma":[0.9989943,0.00006084153,0.0000853715,0.0004382209,0.000175038,0.0002462481],"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":[0.0001443171,0.00002658383,0.00003686946,0.00003664894,0.0001083599,0.00002484191,0.0001323497,0.01664659,0.959631,0.01864744,0.0002555821,0.004309373],"study_design_scores_gemma":[0.0002717819,0.000155338,0.00003864566,0.0001198224,0.0001191126,0.0001570226,0.00002065682,0.1187157,0.8644136,0.001137112,0.01433611,0.000515037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855134,0.001021982,0.009059863,0.0001679109,0.0004770071,0.00009901363,0.000001847033,0.0005545494,0.003104449],"genre_scores_gemma":[0.9960644,0.0000282518,0.001813676,0.0002396604,0.0008398085,0.00002923878,0.0002207947,0.000125376,0.0006387883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1020691,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217170766339536,"score_gpt":0.2551798289344666,"score_spread":0.2430081212710712,"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."}}