{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004553309,0.0003379795,0.0006298217,0.00007775239,0.000119413,0.0001247717,0.0003905177,0.0002041196,0.001022062],"category_scores_gemma":[0.0002963807,0.0003263739,0.000166393,0.0004319694,0.0001054302,0.0002247876,0.0001485795,0.0001403246,0.00003073208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008477215,"about_ca_system_score_gemma":0.0003534395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007427453,"about_ca_topic_score_gemma":0.00001076921,"domain_scores_codex":[0.9976257,0.00003080085,0.0006054509,0.0006859641,0.0003796807,0.0006724022],"domain_scores_gemma":[0.9986608,0.0001173051,0.000246597,0.0004864486,0.0003106551,0.000178221],"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":[0.0001388349,0.0002321289,0.00003337135,0.0007623713,0.00003661645,0.00004311093,0.000323573,0.00002537663,0.9971488,0.000226323,0.000933975,0.00009549467],"study_design_scores_gemma":[0.001318317,0.0001439454,0.0000502077,0.0001556755,0.00008619766,0.00004389524,0.000146237,0.00002332595,0.9952049,0.0002826591,0.00217514,0.0003694443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956937,0.0008065194,0.001423633,0.0002856864,0.0004526911,0.0004060395,0.0004987448,0.00009618104,0.0003367834],"genre_scores_gemma":[0.9949315,0.00005902596,0.003124616,0.0001690319,0.0003345505,0.0001044965,0.0004195994,0.00005495371,0.0008021898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001943869,"threshold_uncertainty_score":0.9999188,"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."}}