{"id":"W2947845159","doi":"10.1021/acs.jpcc.9b03493","title":"Modeling the Effect of Lithium Superoxide Solvation and Surface Reduction Kinetics on Discharge Capacity in Lithium–Oxygen Batteries","year":2019,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Skolkovo Institute of Science and Technology","keywords":"Solvation; Solvent; Chemistry; Lithium (medication); Void (composites); Electrode; Oxygen; Capacity loss; Electrolyte; Chemical physics; Chemical engineering; Analytical Chemistry (journal); Materials science; Physical chemistry; Composite material; Organic 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":[],"consensus_categories":[],"category_scores_codex":[0.0001875986,0.00009689149,0.000187361,0.000009195721,0.00001780267,0.00001101471,0.0001189897,0.00004081037,0.000003452605],"category_scores_gemma":[0.00003082546,0.00005162929,0.00003127903,0.00005300654,0.00005680112,0.0000938314,0.00002582559,0.0002344138,8.245519e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002494849,"about_ca_system_score_gemma":0.000002107147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003825197,"about_ca_topic_score_gemma":1.543595e-7,"domain_scores_codex":[0.9995389,0.00002623329,0.0001840995,0.00004953633,0.0001091933,0.00009204554],"domain_scores_gemma":[0.9996678,0.0001011844,0.00006265822,0.0001334357,0.00002292931,0.00001199495],"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":[0.00004372548,0.000008373591,0.0000480602,0.0001134375,0.000009281217,1.140482e-7,0.0001882259,0.2138167,0.7856779,0.000008516612,0.000004669164,0.00008098382],"study_design_scores_gemma":[0.0001747885,0.000121236,0.0001348114,0.00009484038,0.0000143259,0.000009548053,0.0001281193,0.02236863,0.9764987,0.0003927047,0.000008076285,0.00005419984],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993402,0.00004974978,0.0002430146,0.0001658558,0.00005999724,0.00006269925,0.000003798548,0.00001596208,0.00005875441],"genre_scores_gemma":[0.9998085,0.00003408516,0.00004137686,0.000002386348,0.00009263137,8.181523e-7,6.923772e-7,0.00000981563,0.000009727007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1914481,"threshold_uncertainty_score":0.2105381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009504373177331963,"score_gpt":0.2068251544347947,"score_spread":0.1973207812574627,"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."}}