{"id":"W2546844121","doi":"10.1021/acs.chemmater.6b04078","title":"Improving Energy Density and Structural Stability of Manganese Oxide Cathodes for Na-Ion Batteries by Structural Lithium Substitution","year":2016,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":271,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"BASF Corporation; Israel Science Foundation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Manganese; Intercalation (chemistry); Electrochemistry; Oxide; Lithium (medication); Cathode; Redox; Materials science; Inorganic chemistry; Lithium vanadium phosphate battery; Battery (electricity); Transition metal; Ion; Electrode; Chemistry; Physical chemistry; Metallurgy; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661249,0.0003416357,0.0001251438,0.000211748,0.0002723324,0.0005227298,0.0004506671,0.0002286573,0.001060516],"category_scores_gemma":[0.0002508185,0.0001235208,0.0001057298,0.0001404665,0.0001659008,0.0004187466,0.0002718888,0.0002106174,0.0003142866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003506983,"about_ca_system_score_gemma":0.0001842942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008621542,"about_ca_topic_score_gemma":0.002586553,"domain_scores_codex":[0.999921,0.000006111964,0.000007218693,0.00001468374,0.00003553527,0.00001540608],"domain_scores_gemma":[0.9999539,0.000005846882,0.000009757893,0.000004208504,0.00001897172,0.000007403236],"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":[0.00007510204,0.00002485442,0.0004132303,0.000071464,0.000006143945,0.00006062687,0.00003472853,0.0003076806,0.993759,0.0003329461,0.0001000215,0.004814174],"study_design_scores_gemma":[0.000007101864,0.0001235994,0.000513589,0.000003256994,0.000006561227,0.00006755575,0.00001744727,0.002312058,0.9951243,0.00004981534,0.001769687,0.000005143556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995042,0.0009324826,0.002094208,0.0001285128,0.00003135215,0.00001065337,0.00007232893,0.0000791456,0.001609339],"genre_scores_gemma":[0.9964342,0.0004203331,0.001417532,0.00001368348,0.000008652162,0.000007393166,0.0001072603,0.00002014952,0.001570643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001060516,"threshold_uncertainty_score":0.003547788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00859233746244436,"score_gpt":0.2181236555640816,"score_spread":0.2095313181016372,"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."}}