{"id":"W4200599229","doi":"10.26434/chemrxiv-2021-xnjrt","title":"Electrolyte reactivity at the charged Ni-rich cathode interface and degradation in Li-ion batteries","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Faraday Institution; Engineering and Physical Sciences Research Council; Argonne National Laboratory; Cardiff University","keywords":"Electrolyte; Ethylene carbonate; Electrochemistry; Cathode; Anode; Dielectric spectroscopy; Dissolution; Inorganic chemistry; Materials science; X-ray photoelectron spectroscopy; Chemical engineering; 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"],"consensus_categories":[],"category_scores_codex":[0.0003075275,0.0003069318,0.0003551489,0.0000622747,0.00005664289,0.0001078686,0.0001929938,0.0001900142,0.0001386368],"category_scores_gemma":[0.00007069785,0.0002775863,0.00001874907,0.00008933418,0.0000617788,0.0001661691,0.0005176868,0.000445258,0.00001338127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426945,"about_ca_system_score_gemma":0.00001849217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002727459,"about_ca_topic_score_gemma":0.0001106255,"domain_scores_codex":[0.9987811,0.00008904165,0.0003065548,0.0004112675,0.0001342569,0.0002777973],"domain_scores_gemma":[0.9992409,0.00007847254,0.0001018723,0.0005245438,0.00002687816,0.00002731725],"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":[0.00002461841,0.00001981886,0.001167043,0.0003473122,0.00003707647,0.00000537808,0.0009664108,0.001708299,0.9938862,0.000003708134,0.0005348658,0.001299313],"study_design_scores_gemma":[0.0001704819,0.000007643474,0.004541422,0.0001800671,0.00002225043,0.000009493184,0.00007055928,0.0003440354,0.9937105,0.0001686,0.0004715283,0.0003033886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943783,0.001179859,0.00244159,0.0003173845,0.0009893884,0.0003148799,0.000007948974,0.0001248071,0.0002458985],"genre_scores_gemma":[0.9979786,0.0006478357,0.0004589333,0.00006513044,0.0001177874,0.0001746119,0.0001320779,0.00005963279,0.0003654156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003600331,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841461222142458,"score_gpt":0.2543317729418349,"score_spread":0.2359171607204103,"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."}}