{"id":"W4382195968","doi":"10.1002/smsc.202300045","title":"CoFe<sub>2</sub>O<sub>4</sub>@rGO as a Separator Coating for Advanced Lithium–Sulfur Batteries","year":2023,"lang":"en","type":"article","venue":"Small Science","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Canadian Light Source (Canada)","funders":"Guangdong Science and Technology Department; Natural Science Foundation of Hebei Province; Natural Science Foundation of Guangdong Province","keywords":"Polysulfide; Graphene; Electrochemistry; Density functional theory; Separator (oil production); Spinel; Oxide; Materials science; Ion; Sulfur; Chemical engineering; Diffusion barrier; Redox; Inorganic chemistry; Chemistry; Nanotechnology; Electrode; Electrolyte; Physical chemistry; Computational chemistry; Thermodynamics; Metallurgy","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":[0.0004943747,0.0003394531,0.0003519398,0.0002600317,0.0004619825,0.0002327911,0.00068319,0.0001286581,0.000005102126],"category_scores_gemma":[0.0005055938,0.0003290883,0.0000750335,0.001236011,0.0005035241,0.0006584665,0.0003070926,0.0001780152,0.0002080067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201236,"about_ca_system_score_gemma":0.00009281308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002450349,"about_ca_topic_score_gemma":0.00002751822,"domain_scores_codex":[0.9976335,0.00001501488,0.0004004447,0.0006251847,0.0003203308,0.00100558],"domain_scores_gemma":[0.9989662,0.0001805706,0.0001073144,0.0004911063,0.0001230158,0.0001318521],"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":[0.0000156347,0.000008237218,0.00006781316,0.0001245821,0.000007400569,0.00001239392,0.0002023042,0.00581304,0.9719079,0.000538333,0.0002399958,0.02106236],"study_design_scores_gemma":[0.0003004224,0.0001172688,0.0006581362,0.0001052502,0.000008523368,0.00001271133,0.000405918,0.00286232,0.9901672,0.002986924,0.001941028,0.0004342948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893479,0.00008921891,0.005862817,0.0002470786,0.001234084,0.0005022615,0.00006591585,0.002367608,0.0002830884],"genre_scores_gemma":[0.995981,0.0001587037,0.003174706,0.0001468639,0.0001146969,0.0003191419,0.00001434787,0.00006269407,0.00002784676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02062807,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548961462680556,"score_gpt":0.2434208110096979,"score_spread":0.2279311963828924,"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."}}