{"id":"W3159425938","doi":"10.1016/j.cej.2021.130129","title":"Encapsulation of sulfur within well-defined size-tunable ultrasmall carbon nanospheres for superior high-rate and long-stability Li–S batteries","year":2021,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sulfur; Encapsulation (networking); Chemical engineering; Materials science; Carbon fibers; Nanotechnology; Chemistry; Computer science; Composite material; Metallurgy","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":[0.0001319565,0.0002738049,0.0001379501,0.0001475883,0.0001263179,0.0003100983,0.0002339604,0.0003555586,0.0005578428],"category_scores_gemma":[0.00019355,0.0001335767,0.0001422984,0.0001224514,0.0002916288,0.0003758296,0.0002327356,0.0002543268,0.0002128133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474232,"about_ca_system_score_gemma":0.0001877095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005038924,"about_ca_topic_score_gemma":0.001337266,"domain_scores_codex":[0.999921,0.000007029114,0.000008138121,0.0000192672,0.00002624369,0.00001845041],"domain_scores_gemma":[0.999885,0.00001712638,0.00003465063,0.00001653345,0.00002673084,0.00002001097],"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":[0.00004901707,0.0000223564,0.0001167488,0.00004590736,0.00000700595,0.00005188177,0.00004006594,0.0005905574,0.9957907,0.0005154442,0.0001646706,0.00260568],"study_design_scores_gemma":[0.000006813082,0.00004912179,0.0005519254,0.000001951649,0.000005250927,0.00002853234,0.00001354346,0.003217106,0.9949655,0.00003999096,0.001112391,0.000008011565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953554,0.0003620057,0.002665065,0.00007927131,0.00003193061,0.00001003165,0.00006333418,0.0001116662,0.001321376],"genre_scores_gemma":[0.9973918,0.0001311977,0.001404092,0.00002221927,0.000005835812,0.00000762807,0.00004942798,0.00002498742,0.0009627747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005578428,"threshold_uncertainty_score":0.003971875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006590587884110965,"score_gpt":0.1800842734696734,"score_spread":0.1734936855855624,"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."}}