{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004984267,0.0005953854,0.0009185941,0.0002253835,0.0001198733,0.0002525987,0.0007190299,0.0005906929,0.008563383],"category_scores_gemma":[0.0004395857,0.0006146185,0.0002958037,0.0002585656,0.0001401396,0.0004290055,0.0002155368,0.0003809257,0.0002849076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106321,"about_ca_system_score_gemma":0.0007256184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001836585,"about_ca_topic_score_gemma":0.000007312017,"domain_scores_codex":[0.9964297,0.00004586414,0.001040359,0.0009835853,0.000910009,0.0005904606],"domain_scores_gemma":[0.9974365,0.0002310431,0.0008305661,0.0004172186,0.0009128413,0.0001718409],"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":[0.0002980298,0.0002549832,0.000001368428,0.0009215471,0.0001237625,0.00002311981,0.0001987647,0.0001505358,0.8714314,0.0000970687,0.1263979,0.000101611],"study_design_scores_gemma":[0.001387599,0.0001929358,0.00000999176,0.0008257795,0.0001204407,0.0000514276,0.00009460713,0.00005994668,0.9644904,0.0001729269,0.03202158,0.0005723497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8282145,0.006150408,0.0578528,0.002072772,0.04325429,0.003585306,0.04121285,0.0003443254,0.01731271],"genre_scores_gemma":[0.9370529,0.001454564,0.001950621,0.0005014133,0.008436142,0.0006277428,0.03697801,0.0001813886,0.01281719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1088384,"threshold_uncertainty_score":0.9996305,"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."}}