{"id":"W2006232587","doi":"10.1016/j.electacta.2010.04.071","title":"Effects of precursor treatment with reductant or oxidant on the structure and electrochemical properties of LiNi0.5Mn1.5O4","year":2010,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Innovation Council","funders":"Henan Provincial Science and Technology Research Project; National Natural Science Foundation of China; Science and Technology Department of Henan Province; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Electrochemistry; Hydrazine (antidepressant); Hydroxide; Crystal structure; Spinel; Lithium (medication); Precipitation; Octahedron; Impurity; Inorganic chemistry; Chemistry; Crystal (programming language); Phase (matter); Materials science; Electrode; Crystallography; Metallurgy; Organic chemistry; Physical chemistry","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":[0.00004148136,0.0002546121,0.0003311564,0.0000465155,0.00003685209,0.00001457941,0.0001784803,0.00008128082,0.00003795],"category_scores_gemma":[0.00005682277,0.0001257613,0.00002297405,0.0000948262,0.0001236469,0.0000565633,0.00002154359,0.0002128636,7.228611e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004003291,"about_ca_system_score_gemma":0.00003847196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001210312,"about_ca_topic_score_gemma":0.00000913564,"domain_scores_codex":[0.999074,0.00002990036,0.000234217,0.0002057776,0.0001602669,0.0002958239],"domain_scores_gemma":[0.9994175,0.0001244383,0.00008907969,0.0002983023,0.00002918291,0.00004142578],"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":[0.000590739,0.00006908512,0.00001301486,0.0001738584,0.0001273805,0.000001380117,0.000279127,0.00000317177,0.9983768,0.00009742954,0.00005796105,0.0002100382],"study_design_scores_gemma":[0.0004775957,0.001290027,0.0001296123,0.0001038182,0.00006225196,0.00003978077,0.000009020169,0.00004273424,0.997391,0.0001466505,0.0001544827,0.0001530547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988995,0.0001143282,0.00002390825,0.0001527115,0.00009598282,0.000579931,0.000008387428,0.00005893746,0.00006627468],"genre_scores_gemma":[0.998744,0.0001110078,0.0008897611,0.00002853599,0.00007910954,0.0000480313,0.000003366534,0.00004582256,0.00005035954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001220942,"threshold_uncertainty_score":0.5128396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005790586904764078,"score_gpt":0.1988267612828746,"score_spread":0.1930361743781105,"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."}}