{"id":"W4206351922","doi":"10.1002/adma.202270015","title":"Design of Quasi‐MOF Nanospheres as a Dynamic Electrocatalyst toward Accelerated Sulfur Reduction Reaction for High‐Performance Lithium–Sulfur Batteries (Adv. Mater. 2/2022)","year":2022,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Electrocatalyst; Sulfur; Lithium (medication); Reduction (mathematics); Chemical engineering; Inorganic chemistry; Electrochemistry; Electrode; Metallurgy; Chemistry; Physical chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000363087,0.0004314225,0.0006983284,0.000176123,0.0002681576,0.00007231844,0.000381796,0.0001415623,0.0003081983],"category_scores_gemma":[0.00006021159,0.0004510435,0.00005197875,0.0003480095,0.00008829973,0.0007817597,0.0001452415,0.0001492856,0.00001452907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003581922,"about_ca_system_score_gemma":0.00005025143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003434542,"about_ca_topic_score_gemma":0.000001970235,"domain_scores_codex":[0.9977326,0.00008541188,0.0008176141,0.0004838651,0.0003037347,0.0005767404],"domain_scores_gemma":[0.9989203,0.00006144432,0.0003521449,0.0004802817,0.0001449058,0.00004098928],"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":[0.0009274105,0.00005846238,0.000001570477,0.0005357726,0.00007257598,0.000003550624,0.0001384291,0.01995075,0.9738749,0.000190749,0.000184965,0.004060885],"study_design_scores_gemma":[0.0007694017,0.0008898141,0.00009925366,0.00006545623,0.00004440352,0.00007225327,0.0004940275,0.0002285653,0.9933058,0.002568891,0.0009865918,0.0004755692],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815638,0.0002552035,0.01319555,0.0001084599,0.002384873,0.001094566,0.0002829883,0.001090902,0.00002364059],"genre_scores_gemma":[0.9900698,0.0007875687,0.00674868,0.00002603417,0.00007084166,0.001551709,0.0003892596,0.0001388532,0.0002172436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972219,"threshold_uncertainty_score":0.9997941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352971875727324,"score_gpt":0.2348380380341969,"score_spread":0.2213083192769237,"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."}}