{"id":"W3214993378","doi":"10.1002/eem2.12319","title":"Microporous Cyclodextrin Film with Funnel‐type Channel Polymerized on Electrospun Cellulose Acetate Membrane as Separators for Strong Trapping Polysulfides and Boosting Charging in Lithium–Sulfur Batteries","year":2021,"lang":"en","type":"article","venue":"Energy & environment materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Higher Education Discipline Innovation Project; Jiangsu Provincial Key Research and Development Program; China Postdoctoral Science Foundation","keywords":"Separator (oil production); Cathode; Chemical engineering; Cellulose acetate; Chemistry; Membrane; Microporous material; Cellulose; Materials science; Composite material; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001183346,0.0004236941,0.0001799997,0.0002897641,0.0001262192,0.0002918496,0.0002399919,0.0003972805,0.0006480461],"category_scores_gemma":[0.0001277915,0.0002019291,0.0002781049,0.0002038856,0.0001880302,0.000427078,0.0001924955,0.0003249066,0.000327659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951557,"about_ca_system_score_gemma":0.0001926154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004262491,"about_ca_topic_score_gemma":0.0007757986,"domain_scores_codex":[0.9999082,0.000006432816,0.000007497743,0.00003213876,0.00002400356,0.00002170134],"domain_scores_gemma":[0.9999248,0.00001182072,0.00002522844,0.000008313111,0.00001317852,0.0000165864],"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":[0.00003566278,0.00001295978,0.00005574946,0.00004452821,0.000004149292,0.00005665936,0.000008732041,0.0001164637,0.9982532,0.0001050332,0.00004644057,0.001260366],"study_design_scores_gemma":[0.000007854712,0.00005380334,0.0005997705,0.000003803394,0.000007246997,0.00005467283,0.000008042606,0.001256022,0.9970418,0.00001560669,0.0009436173,0.000007796188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861888,0.001393288,0.009191697,0.00009516936,0.0001010341,0.00004423124,0.0003267467,0.000377247,0.002281767],"genre_scores_gemma":[0.9896612,0.0009373431,0.006939697,0.00005368966,0.00001712611,0.0000418362,0.0001572055,0.00003114282,0.002160758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006480461,"threshold_uncertainty_score":0.00216794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007283022343239543,"score_gpt":0.1916107173452146,"score_spread":0.1843276950019751,"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."}}