{"id":"W4399970494","doi":"10.1021/acsnano.4c04529","title":"Mass Transfer Analysis for Achieving High-Rate Lithium–Air Batteries","year":2024,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Tencent","keywords":"Lithium (medication); Materials science; Mass transfer; Nanotechnology; Chemistry; Chromatography; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005264081,0.0005088496,0.0002834628,0.000780043,0.0002872553,0.0005905007,0.0006725082,0.0007511743,0.003411739],"category_scores_gemma":[0.001130437,0.000194539,0.0005613886,0.000326531,0.0003850952,0.001699902,0.0004125485,0.0009562243,0.0006026392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005108536,"about_ca_system_score_gemma":0.000236756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005848689,"about_ca_topic_score_gemma":0.0007325062,"domain_scores_codex":[0.9997646,0.00002500713,0.00001164365,0.00003350158,0.0001367199,0.00002845296],"domain_scores_gemma":[0.9998409,0.00006874774,0.00002107011,0.000009476809,0.00005426597,0.000005569642],"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":[0.0001832827,0.0001203792,0.001167315,0.001685353,0.0000368518,0.0005317932,0.000352895,0.009138929,0.9053074,0.03574895,0.002754083,0.04297282],"study_design_scores_gemma":[0.00002143525,0.000302822,0.001127647,0.0001076848,0.00005238578,0.000381028,0.0002255592,0.09468652,0.8684184,0.01174276,0.02288952,0.00004428971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5317789,0.03496639,0.3766587,0.004054743,0.0009237107,0.0005834892,0.0006759494,0.001203667,0.04915445],"genre_scores_gemma":[0.9455886,0.01221855,0.03196901,0.0004461769,0.0001966508,0.0001488516,0.0002565324,0.00007156673,0.009103958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003411739,"threshold_uncertainty_score":0.0114134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473529764754655,"score_gpt":0.257529221632135,"score_spread":0.2427939239845885,"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."}}