{"id":"W4396927182","doi":"10.1002/aenm.202400845","title":"A Nanocrystallite CuS/Nitrogen‐Doped Carbon Host Improves Redox Kinetics in All‐Solid‐State Li<sub>2</sub>S Batteries","year":2024,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; University of Toronto","keywords":"Materials science; Redox; Kinetics; Carbon fibers; Doping; Solid-state; Nitrogen; Nanotechnology; Chemical engineering; Inorganic chemistry; Optoelectronics; Composite material; Physical chemistry; Metallurgy; Chemistry; Organic chemistry","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":[0.00005587704,0.0002718761,0.0001601607,0.0001751195,0.0001278149,0.0002912567,0.000208381,0.0002698082,0.001037403],"category_scores_gemma":[0.0001217347,0.0001363488,0.00009917343,0.0001275458,0.0001703001,0.0001806112,0.0001453044,0.0001302023,0.0001665888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003980599,"about_ca_system_score_gemma":0.0001363374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397734,"about_ca_topic_score_gemma":0.004792583,"domain_scores_codex":[0.9999405,0.000005414201,0.000004476291,0.00001400704,0.00002274732,0.00001278386],"domain_scores_gemma":[0.9999191,0.00001075304,0.00001990839,0.000006540705,0.0000223896,0.00002137764],"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":[0.0001296108,0.00002004074,0.0001874186,0.00005004581,0.000007556595,0.00006768467,0.00001297209,0.000423615,0.9970537,0.0001056448,0.0001289764,0.001812685],"study_design_scores_gemma":[0.00000999156,0.0001474647,0.001249655,0.000004559792,0.00001315255,0.00004818326,0.0000140547,0.004444967,0.9931035,0.00001397856,0.0009421713,0.000008377564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982082,0.0002527435,0.0004380948,0.00002795257,0.00002323422,0.000005252253,0.00005636955,0.00008833551,0.0008999084],"genre_scores_gemma":[0.9982783,0.0001140868,0.0007316755,0.00001252654,0.00000395737,0.000004290403,0.00004915156,0.00001754469,0.0007885959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002397734,"threshold_uncertainty_score":0.004767537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00687387016744484,"score_gpt":0.2289831930833186,"score_spread":0.2221093229158738,"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."}}