{"id":"W4207002184","doi":"10.1002/anie.202016891","title":"Inside Cover: Strain Engineering of a MXene/CNT Hierarchical Porous Hollow Microsphere Electrocatalyst for a High‐Efficiency Lithium Polysulfide Conversion Process (Angew. Chem. Int. Ed. 5/2021)","year":2021,"lang":"en","type":"paratext","venue":"Angewandte Chemie International Edition","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrocatalyst; Materials science; Polysulfide; Porosity; Chemical engineering; Lithium (medication); Microsphere; Electrochemistry; Nanotechnology; Composite material; Electrode; Chemistry; Electrolyte; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004324701,0.0003039759,0.0001435915,0.0002579493,0.0001931367,0.0001712047,0.0003253539,0.0003367423,0.01212412],"category_scores_gemma":[0.00005714747,0.0001306862,0.0001280195,0.0001579626,0.0001005077,0.0004888335,0.000193467,0.0002801164,0.002710739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796233,"about_ca_system_score_gemma":0.0001032298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624528,"about_ca_topic_score_gemma":0.001055285,"domain_scores_codex":[0.9999391,0.000001110505,0.000002603023,0.00001273374,0.00003529912,0.000009137745],"domain_scores_gemma":[0.9999703,0.000006581588,0.000007971047,0.00000372321,0.000006657448,0.000004762322],"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":[0.00004919197,0.00002785091,0.00006488871,0.00010303,0.000003613173,0.0001762462,0.00001170977,0.0002502665,0.9790162,0.001223872,0.006340201,0.01273298],"study_design_scores_gemma":[0.00000977542,0.00006504619,0.0007501798,0.00000517715,0.00000416811,0.0001463916,0.000005147999,0.004095981,0.9709377,0.0001557129,0.02381953,0.000005173148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7538981,0.008169185,0.05223481,0.002552904,0.004031783,0.0002270099,0.005243165,0.006191881,0.1674511],"genre_scores_gemma":[0.8736959,0.002734601,0.01526551,0.0003504194,0.0005108901,0.00005947646,0.001766754,0.0003974678,0.1052191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01212412,"threshold_uncertainty_score":0.04055923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008112831155399482,"score_gpt":0.2542744515497398,"score_spread":0.2461616203943403,"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."}}