{"id":"W3039320808","doi":"10.1016/j.matt.2020.06.002","title":"Tantalum-Based Electrocatalyst for Polysulfide Catalysis and Retention for High-Performance Lithium-Sulfur Batteries","year":2020,"lang":"en","type":"article","venue":"Matter","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan; University of Waterloo","funders":"Brookhaven National Laboratory; Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Polysulfide; Electrocatalyst; Tantalum; Sulfur; Lithium (medication); Catalysis; Lithium–sulfur battery; Materials science; Self-discharge; Chemistry; Inorganic chemistry; Chemical engineering; Electrode; Electrochemistry; Metallurgy; Organic chemistry; Engineering; Electrolyte","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004627639,0.0001714325,0.0002285106,0.00005239694,0.00008000947,0.00006166165,0.0001105545,0.00007412294,0.00004204128],"category_scores_gemma":[0.00001482182,0.0001598235,0.0000409579,0.00008641426,0.00004375269,0.0001932813,0.00002659088,0.00005434768,0.00002116216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002164811,"about_ca_system_score_gemma":0.000004219297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002943373,"about_ca_topic_score_gemma":0.000001929326,"domain_scores_codex":[0.9992434,0.000003888651,0.0002126871,0.0002244618,0.00005751441,0.0002580233],"domain_scores_gemma":[0.9997059,0.00003463608,0.00004045013,0.0001597731,0.00002510188,0.00003413327],"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":[0.0001240224,0.000009655506,0.001141369,0.001257262,0.00006747113,0.000001102347,0.00007182665,0.0009014556,0.9862069,0.00008001862,0.006284794,0.003854062],"study_design_scores_gemma":[0.0005085423,0.0001422887,0.001622578,0.0000287138,0.00005227557,0.000002509368,0.00002623782,0.005343001,0.9862847,0.0003137016,0.005419131,0.000256277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083909,0.00009188273,0.08788783,0.00261856,0.0001302052,0.0003331972,0.000113458,0.0004025401,0.00003142309],"genre_scores_gemma":[0.9919934,0.00001686339,0.006298582,0.001032714,0.00009865477,0.0002850274,0.0001759785,0.00004835448,0.000050395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08360253,"threshold_uncertainty_score":0.6517413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009962620121398529,"score_gpt":0.1900965415243883,"score_spread":0.1801339214029898,"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."}}