{"id":"W4411466274","doi":"10.1002/smll.202501292","title":"Synergistic Lithium Alloying and Plating in 3D Cu/CNT/Sn Electrodes for Stable Lithium Metal Batteries","year":2025,"lang":"en","type":"article","venue":"Small","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"European Research Council; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation; Faraday Institution","keywords":"Materials science; Anode; Faraday efficiency; Plating (geology); Current collector; Electrolyte; Electroplating; Lithium (medication); Chemical engineering; Electrode; Cathode; Current density; Carbon nanotube; Alloy; Energy storage; Layer (electronics); Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0002593628,0.0001946727,0.0002876971,0.0001283653,0.0000749126,0.00008672575,0.0001167488,0.00006806053,0.00003300748],"category_scores_gemma":[0.0001399804,0.0002073287,0.00001944316,0.0001172801,0.00003554079,0.0001823622,0.00007535882,0.0001056876,0.000003433421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008442241,"about_ca_system_score_gemma":0.00001803229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003207679,"about_ca_topic_score_gemma":0.00008077203,"domain_scores_codex":[0.99892,0.00002598671,0.0003345331,0.0002421014,0.00006437668,0.0004130166],"domain_scores_gemma":[0.9995286,0.0002096839,0.00003693867,0.0001728533,0.00002403773,0.0000278896],"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":[0.0000995663,0.00004001117,0.005791868,0.002128131,0.0001775335,0.0000125445,0.0007348387,0.02164834,0.9585024,0.006030286,0.0007454734,0.004089073],"study_design_scores_gemma":[0.003751159,0.0002935542,0.00914831,0.001605207,0.000291099,0.00001321271,0.0008803754,0.04837025,0.8702477,0.02352257,0.03977919,0.002097349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397413,0.000631597,0.05538518,0.0001005812,0.0006782927,0.0003772989,0.00003598047,0.000202529,0.002847249],"genre_scores_gemma":[0.972329,0.00003896538,0.02567876,0.0001715552,0.000110628,0.0001824996,0.00002421868,0.00004945613,0.001414982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08825462,"threshold_uncertainty_score":0.8454621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478782642708088,"score_gpt":0.243850205498243,"score_spread":0.2290623790711621,"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."}}