{"id":"W4415751773","doi":"10.1016/j.est.2025.119200","title":"Tuning cation ordering and Mn3+ content in non-stoichiometric LiNi0.5-xMn1.5+xO4-y (LNMO) for enhanced cathode stability in lithium-ion batteries","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; Canada Foundation for Innovation; Academy of Finland; Business Finland; Canadian Institutes of Health Research; National Research Council; University of Saskatchewan","keywords":"Cathode; Electrochemistry; Structural stability; Diffusion; Phase (matter); Particle (ecology); Anode; Solid solution; Kinetic control","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133565,0.0002405683,0.0001515129,0.0001427116,0.0001454271,0.0002687607,0.0002197628,0.0002011109,0.0005410655],"category_scores_gemma":[0.0001463655,0.000163417,0.00007942314,0.0001103909,0.0001523963,0.0001837506,0.0002480489,0.000169881,0.0002064317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332766,"about_ca_system_score_gemma":0.0001445321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003475948,"about_ca_topic_score_gemma":0.00143797,"domain_scores_codex":[0.9999402,0.000007667839,0.000008040956,0.00001753088,0.00001695302,0.000009691635],"domain_scores_gemma":[0.9999491,0.000007591624,0.00002569277,0.000003017008,0.000007637577,0.000006875993],"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":[0.00003644533,0.00001016234,0.0001216954,0.00004484502,0.000001450256,0.0000139666,0.00001097254,0.0001038114,0.9987503,0.00004524462,0.00001404677,0.0008470468],"study_design_scores_gemma":[0.000009293367,0.00009266847,0.0009719184,0.000005214687,0.000006465968,0.00002891563,0.00001318372,0.001240885,0.996868,0.00001672473,0.0007423719,0.000004472165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975029,0.0004492396,0.001307189,0.00003232674,0.000009228536,0.00001552131,0.00005492816,0.00004157567,0.0005870177],"genre_scores_gemma":[0.9957297,0.0004051659,0.00297624,0.00001723712,0.000003586153,0.00002437526,0.00006775175,0.00002236872,0.0007535741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005410655,"threshold_uncertainty_score":0.001810014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478090697829814,"score_gpt":0.2666121141569225,"score_spread":0.2418312071786244,"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."}}