{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007225489,0.0003523467,0.0001643034,0.000190718,0.0001071981,0.0001840604,0.0001774833,0.0003627984,0.0005917529],"category_scores_gemma":[0.0001039302,0.0001115762,0.0001342855,0.000119954,0.0001551339,0.0002840677,0.0001314256,0.0001764051,0.0002354113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172783,"about_ca_system_score_gemma":0.0001373527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004739862,"about_ca_topic_score_gemma":0.001453576,"domain_scores_codex":[0.9999421,0.000005968344,0.000004078916,0.00001003867,0.00002742505,0.00001044185],"domain_scores_gemma":[0.999963,0.000005448899,0.00001152499,0.000003241044,0.00001070365,0.000005992703],"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":[0.00004159717,0.00001303788,0.0001567306,0.00007070966,0.00000590952,0.00006371585,0.000006796694,0.0003232581,0.995663,0.0001465968,0.0001238218,0.003384874],"study_design_scores_gemma":[0.000005704577,0.00005402497,0.001004881,0.000003557782,0.00001194159,0.00008384327,0.00001082805,0.003305052,0.9932538,0.00003787523,0.002223744,0.000004752605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837373,0.00209124,0.01038625,0.0001249225,0.00006492996,0.00003073241,0.00008484389,0.000201241,0.003278386],"genre_scores_gemma":[0.9911923,0.0006429362,0.005989454,0.00003571911,0.00001137372,0.00001396163,0.00007273534,0.00002960196,0.002012014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005917529,"threshold_uncertainty_score":0.001979589,"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."}}