{"id":"W4401397376","doi":"10.1039/d4ta04077e","title":"Co-deposition of conductive additives and lithium peroxide during discharge to boost the performance of lithium–oxygen batteries","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Lithium (medication); Electrolyte; Oxygen; Materials science; Electrical conductor; Deposition (geology); Nanoarchitectures for lithium-ion batteries; Peroxide; Chemical engineering; Carbon fibers; Inorganic chemistry; Electrode; Chemistry; Electrochemistry; Composite material; Organic chemistry; Engineering","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":[0.0001443726,0.0003174716,0.0002119818,0.0002332281,0.0001458131,0.000364247,0.0003630264,0.0003150513,0.0007449499],"category_scores_gemma":[0.0002257988,0.0002580283,0.000176575,0.0001735276,0.0001569387,0.00055122,0.0003458437,0.0005059437,0.0002433003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323445,"about_ca_system_score_gemma":0.0001500775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001691678,"about_ca_topic_score_gemma":0.0005355168,"domain_scores_codex":[0.9998828,0.000006354279,0.00001183196,0.00002976344,0.00005030162,0.00001891847],"domain_scores_gemma":[0.9999337,0.00001245751,0.0000219189,0.00001079683,0.0000128606,0.000008191298],"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":[0.00004426312,0.00002857534,0.0001021951,0.00007587112,0.000004377618,0.00007508659,0.00002979191,0.00009589544,0.9946021,0.0001804419,0.00007470475,0.004686696],"study_design_scores_gemma":[0.000005088805,0.00005266561,0.0002542711,0.000001955002,0.000006514623,0.00006290578,0.000005968829,0.000602904,0.9974375,0.00001494842,0.001552233,0.000002985085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834396,0.002482709,0.01009735,0.0001757283,0.0001882144,0.00003563405,0.00006696108,0.000230453,0.003283361],"genre_scores_gemma":[0.9873826,0.001503342,0.006591614,0.00004888415,0.00004716316,0.00002636591,0.00009388392,0.00006786095,0.004238221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007449499,"threshold_uncertainty_score":0.00249207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008055820530331877,"score_gpt":0.2350974718173586,"score_spread":0.2270416512870267,"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."}}