{"id":"W3123999877","doi":"10.1002/ange.202016891","title":"Innentitelbild: Strain Engineering of a MXene/CNT Hierarchical Porous Hollow Microsphere Electrocatalyst for a High‐Efficiency Lithium Polysulfide Conversion Process (Angew. Chem. 5/2021)","year":2021,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microsphere; Lithium (medication); Materials science; Chemistry; Polysulfide; Porosity; Electrocatalyst; Chemical engineering; Nanotechnology; Electrochemistry; Physical chemistry; Composite material; Electrode; Electrolyte; Engineering","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":[0.00009768857,0.000191378,0.00008627294,0.0001345153,0.0001341739,0.0001408433,0.0001390321,0.0002299886,0.00113763],"category_scores_gemma":[0.00007455502,0.00006902922,0.0001464127,0.0000669828,0.0001318608,0.0002269525,0.0001291411,0.0002242748,0.0002792841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229,"about_ca_system_score_gemma":0.0001377602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008921509,"about_ca_topic_score_gemma":0.001720725,"domain_scores_codex":[0.9999514,0.000002592061,0.000003739387,0.00001256053,0.00002117764,0.000008586752],"domain_scores_gemma":[0.9999647,0.000006202242,0.000009338832,0.000003833084,0.000009182997,0.000006776711],"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":[0.00001996435,0.00000702773,0.00006691172,0.00001824893,0.000001612666,0.00005158815,0.00001739914,0.000193646,0.9975764,0.0002036366,0.00007919561,0.001764241],"study_design_scores_gemma":[0.000003625084,0.00005197309,0.0005066523,9.304119e-7,0.00000203285,0.00003781977,0.00000652339,0.001754751,0.9961695,0.0000364794,0.001426396,0.000003210161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9817454,0.000667544,0.01406802,0.0001644343,0.0001027054,0.00003546508,0.0002189011,0.0002230272,0.002774442],"genre_scores_gemma":[0.9792849,0.0004363471,0.01407634,0.00003058646,0.00001462678,0.00002504879,0.0002314217,0.00003974882,0.005861037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00113763,"threshold_uncertainty_score":0.003805816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008346742192953565,"score_gpt":0.2366017545174258,"score_spread":0.2282550123244723,"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."}}