{"id":"W2911148134","doi":"10.1002/chem.201805213","title":"Vertically Grown Few‐Layer MoS<sub>2</sub> Nanosheets on Hierarchical Carbon Nanocages for Pseudocapacitive Lithium Storage with Ultrahigh‐Rate Capability and Long‐Term Recyclability","year":2019,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Materials science; Anode; Nanocages; Molybdenum disulfide; Lithium (medication); Nanotechnology; Electrolyte; Carbon fibers; Energy storage; Chemical engineering; Composite material; Electrode; Power (physics); Catalysis; Composite number; 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":[0.00005121212,0.0002438872,0.0001399818,0.0001494922,0.0001088238,0.0002048004,0.0001862396,0.0002372692,0.0006798209],"category_scores_gemma":[0.0001288596,0.000123719,0.0001401789,0.0001266246,0.0001411644,0.0002433314,0.0001664684,0.0001952429,0.0001649042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867884,"about_ca_system_score_gemma":0.0001681789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410149,"about_ca_topic_score_gemma":0.005656397,"domain_scores_codex":[0.9999433,0.000004368159,0.000004901581,0.00001303855,0.00002303893,0.00001138261],"domain_scores_gemma":[0.9999413,0.000008705035,0.00001452176,0.000007507172,0.00001687568,0.00001101014],"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":[0.00001858503,0.000007109182,0.0001219691,0.00002375583,0.000004698161,0.00002851154,0.000006100403,0.0003072664,0.9983333,0.0001111015,0.00007199465,0.0009657263],"study_design_scores_gemma":[0.000009187875,0.00008025107,0.001655865,0.000004172885,0.00001091407,0.00004019841,0.00001740653,0.005482453,0.9914659,0.00003743767,0.001188848,0.000007346025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958674,0.0004739065,0.001993795,0.00004565817,0.00004550559,0.00001142695,0.0001140518,0.0001027037,0.001345664],"genre_scores_gemma":[0.9971878,0.0001732787,0.001946435,0.00001302128,0.000005847727,0.000007315126,0.00006042282,0.000009553233,0.0005964158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001410149,"threshold_uncertainty_score":0.002803862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009140079852821217,"score_gpt":0.2073198186012662,"score_spread":0.1981797387484449,"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."}}