{"id":"W4220957660","doi":"10.1021/acsami.1c22812","title":"Electrolyte Reactivity at the Charged Ni-Rich Cathode Interface and Degradation in Li-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Faraday Institution","keywords":"Electrolyte; Ethylene carbonate; Materials science; Cathode; Electrochemistry; Inorganic chemistry; Dissolution; Dielectric spectroscopy; Chemical engineering; Solvent; X-ray photoelectron spectroscopy; Reactivity (psychology); Electrode; Chemistry; Organic chemistry; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007017588,0.0003164069,0.0003815955,0.0001031297,0.000248833,0.0001387289,0.0003267493,0.00006271047,0.0009366255],"category_scores_gemma":[0.00001907244,0.0002776499,0.000004528889,0.000135008,0.00009528951,0.0002372912,0.0005858531,0.0001921727,0.00005025629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328061,"about_ca_system_score_gemma":0.000009245375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005247424,"about_ca_topic_score_gemma":0.00006365286,"domain_scores_codex":[0.9983207,0.0001686676,0.0004819005,0.0003909373,0.0002248313,0.0004129807],"domain_scores_gemma":[0.9993367,0.0001031934,0.0001497027,0.0003741718,0.00001298313,0.00002329576],"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":[0.0002382839,0.00002541295,0.00005337099,0.00006459263,0.00002522471,0.000001725961,0.001190411,0.001378952,0.9951582,0.00008825117,0.0008609352,0.0009146202],"study_design_scores_gemma":[0.0003473302,0.0000558614,0.0003848986,0.00001674397,0.00001645411,0.00001763191,0.0003936954,0.00000464243,0.9972972,0.0005009693,0.0006817105,0.0002828745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969697,0.0002820522,0.00008761722,0.0002982218,0.001129319,0.0005963988,0.0001384375,0.0001914448,0.0003067861],"genre_scores_gemma":[0.9983805,0.0001403083,0.0001059616,0.0001587188,0.00007492094,0.0007130623,0.00006987395,0.0000711164,0.0002855498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002138968,"threshold_uncertainty_score":0.9999766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078727146416134,"score_gpt":0.2319051267680665,"score_spread":0.2211178553039052,"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."}}