{"id":"W4409633808","doi":"10.1021/acsaem.5c00102","title":"Facile Synthesis of Lithium Sulfide@Carbon Nanocomposite via Precursor Solution Infiltration-Decomposition for High-Performance Lithium Sulfide Batteries","year":2025,"lang":"en","type":"article","venue":"ACS Applied Energy Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sulfide; Nanocomposite; Lithium (medication); Decomposition; Materials science; Infiltration (HVAC); Carbon fibers; Inorganic chemistry; Chemical engineering; Chemistry; Nanotechnology; Composite number; Organic chemistry; Composite material; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002018844,0.0003685434,0.0006237122,0.0002278895,0.0001324587,0.00009368979,0.0002895304,0.0002899063,0.00002898847],"category_scores_gemma":[0.00002113237,0.0003702762,0.00004022002,0.0002012084,0.0001121161,0.000243032,0.0001003483,0.00005766099,0.000005500091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008898754,"about_ca_system_score_gemma":0.00001975959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001112221,"about_ca_topic_score_gemma":0.00001515577,"domain_scores_codex":[0.9982917,0.00002654602,0.0007811518,0.0003501786,0.0001440168,0.000406351],"domain_scores_gemma":[0.9990876,0.0001607654,0.0001989507,0.000439096,0.00008376134,0.00002976847],"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":[0.0001930904,0.00003190968,0.00001862519,0.0006160361,0.00009139947,3.812843e-7,0.00002736318,0.004450658,0.9820468,0.008330781,0.0003858005,0.003807093],"study_design_scores_gemma":[0.0003421392,0.00006070203,0.0005742476,0.000165059,0.00006409487,0.000002379214,0.0000118276,0.0002525854,0.9930443,0.004115012,0.001024232,0.0003434639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741328,0.00005622917,0.02226329,0.0001163769,0.001125419,0.0004304918,0.000242747,0.0006662054,0.0009664038],"genre_scores_gemma":[0.9941046,0.0002218988,0.003869852,0.00005061773,0.0001185083,0.001242254,0.0002370056,0.00005595853,0.00009934562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997172,"threshold_uncertainty_score":0.9998749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005425898396356824,"score_gpt":0.2032172907820217,"score_spread":0.1977913923856649,"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."}}