{"id":"W4319986673","doi":"10.1038/s41467-023-36075-1","title":"High entropy liquid electrolytes for lithium batteries","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":271,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Guangdong Provincial Pearl River Talents Program; University of California, San Diego; Chinese Academy of Sciences; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Natural Science Foundation of China","keywords":"Electrolyte; Solvation; Ion; Entropy (arrow of time); Thermodynamics; Materials science; Chemistry; Inorganic chemistry; Chemical physics; Chemical engineering; Physical chemistry; Organic chemistry; Electrode; Physics","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":[0.00006324388,0.000103145,0.0001280949,0.00009180343,0.0001565799,0.00003285399,0.000629588,0.0001825901,0.000009799989],"category_scores_gemma":[0.00009117423,0.00009782283,0.00003697511,0.0002455302,0.00006341874,0.00009755135,0.0001529344,0.0002939414,0.00004396967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002481849,"about_ca_system_score_gemma":0.000005927334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001566794,"about_ca_topic_score_gemma":0.00002357603,"domain_scores_codex":[0.9995104,0.00001134979,0.0001340678,0.00009048523,0.00004859913,0.0002051026],"domain_scores_gemma":[0.9988149,0.0002018671,0.00002210938,0.0008996653,0.00004477211,0.00001672607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003727621,0.00003042952,0.00006274365,0.000090543,0.00009886139,6.799025e-7,0.0001274028,0.001276645,0.6625993,0.2325636,0.1000677,0.003044827],"study_design_scores_gemma":[0.0002513902,0.00009775034,0.0007161158,0.00002520365,0.0000212711,0.000002858317,0.0000877555,0.001790599,0.3667538,0.01512161,0.6148506,0.0002809848],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.876425,0.01905896,0.01659914,0.0520762,0.003806648,0.001995011,0.00103481,0.02523911,0.00376509],"genre_scores_gemma":[0.9843909,0.002032208,0.01270779,0.0001249724,0.00006240638,0.0002940577,0.0002509672,0.00003149504,0.0001052016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.514783,"threshold_uncertainty_score":0.39891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263016778074169,"score_gpt":0.2626526883021635,"score_spread":0.2500225205214218,"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."}}