{"id":"W2326234472","doi":"10.1021/jz5018202","title":"Kinetics of Oxygen Reduction in Aprotic Li–O<sub>2</sub> Cells: A Model-Based Study","year":2014,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; U.S. Department of Energy","keywords":"Tafel equation; Chemistry; Lithium (medication); Kinetics; Oxygen; Superoxide; Catalysis; Kinetic energy; Thermodynamics; Physical chemistry; Organic chemistry; Physics; Enzyme","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":[0.0001742289,0.0004690121,0.0007354222,0.0001888985,0.0001903267,0.0005050845,0.0007262864,0.0008529652,0.001252218],"category_scores_gemma":[0.0004446783,0.0001669722,0.0003990326,0.0002035903,0.0002903291,0.0008558909,0.0002520245,0.0006693591,0.0003902077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006231159,"about_ca_system_score_gemma":0.000240798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001346171,"about_ca_topic_score_gemma":0.0007836505,"domain_scores_codex":[0.9999027,0.00000993831,0.00000628879,0.00002843679,0.00003711584,0.00001554676],"domain_scores_gemma":[0.999891,0.00005519711,0.00001536071,0.00001141719,0.00001952503,0.000007409678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007086446,0.000295833,0.003163959,0.0006310352,0.00007648743,0.0006292849,0.0002370501,0.3737425,0.5842,0.01428773,0.0009831048,0.02104422],"study_design_scores_gemma":[0.00004271873,0.0004445399,0.000901069,0.00001258463,0.00002256182,0.000223901,0.00005070043,0.8461021,0.1468712,0.002473304,0.002826963,0.00002824801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118098,0.003862834,0.07598545,0.0004813893,0.00008802503,0.0001341365,0.0005851584,0.0003743078,0.006678957],"genre_scores_gemma":[0.9922214,0.001556214,0.00403738,0.00004212434,0.00001226289,0.0000484692,0.0002083745,0.00002150775,0.001852204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001346171,"threshold_uncertainty_score":0.004521072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00610197913871794,"score_gpt":0.1943518776940782,"score_spread":0.1882498985553603,"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."}}