{"id":"W4411061193","doi":"10.1002/cey2.70033","title":"Intimate Heterostructured Electrocatalyst for Functional Tandem Catalysts of Lithium Polysulfides in Separator‐Modified Lithium‐Sulfur Batteries","year":2025,"lang":"en","type":"article","venue":"Carbon Energy","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Basic and Applied Basic Research Foundation of Guangdong Province; South China Normal University; Chinese Academy of Sciences; Natural Science Foundation of Guangdong Province; Natural Science Foundation of Ningxia Province; National Natural Science Foundation of China","keywords":"Electrocatalyst; Separator (oil production); Tandem; Lithium (medication); Catalysis; Chemistry; Sulfur; Materials science; Inorganic chemistry; Electrochemistry; Electrode; Organic chemistry; Physical chemistry; Medicine; Physics; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000865088,0.0002405986,0.000156816,0.0002020271,0.0001054001,0.0002614599,0.0002485185,0.0002134074,0.0006708979],"category_scores_gemma":[0.00008819697,0.0001605495,0.0001350559,0.0001541045,0.0001502682,0.0002573416,0.0001814684,0.0003128484,0.0002982538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002892737,"about_ca_system_score_gemma":0.0001515367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003940201,"about_ca_topic_score_gemma":0.00146739,"domain_scores_codex":[0.9999237,0.000006316559,0.000006725764,0.0000173035,0.00003346259,0.00001251768],"domain_scores_gemma":[0.9999681,0.000004435686,0.000008208048,0.00000498652,0.000007610368,0.00000661411],"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":[0.00001388228,0.00001324732,0.00007361773,0.00002103517,0.00000455556,0.00001861992,0.000009092627,0.0001652743,0.9981543,0.0001714106,0.00004885424,0.001306045],"study_design_scores_gemma":[0.000004135365,0.00003695057,0.0003420372,0.000001136623,0.000004669904,0.00002297025,0.000006185827,0.001623619,0.9970463,0.00001782314,0.0008917864,0.00000241527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914971,0.0007067838,0.005375487,0.00007815199,0.00003636506,0.00002060383,0.0001573209,0.0002186816,0.00190942],"genre_scores_gemma":[0.9955883,0.000217941,0.002999633,0.00001668091,0.000004498996,0.00001107253,0.00008140669,0.00001397611,0.001066442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006708979,"threshold_uncertainty_score":0.002244413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007414985429334298,"score_gpt":0.2145587658301407,"score_spread":0.2071437804008064,"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."}}