{"id":"W4294132520","doi":"10.1021/acsanm.2c03100","title":"Reduced Graphene Oxide-Based Dielectric Nanocomposites with Small Dielectric Relaxation Times for Emerging Dielectric Electronics with High-Frequency Performance Demands","year":2022,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Dielectric materials and actuators","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Aeronautical Science Foundation of China; Nanjing University of Aeronautics and Astronautics; National Natural Science Foundation of China","keywords":"Dielectric; Graphene; Materials science; Nanocomposite; Electronics; Oxide; Relaxation (psychology); Optoelectronics; Nanotechnology; Electrical engineering; Engineering; Psychology","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":[0.00008718033,0.000294737,0.0001120807,0.000194933,0.00007533106,0.000186241,0.0002119575,0.0002599482,0.0005244921],"category_scores_gemma":[0.0001636998,0.0001413251,0.0001875394,0.0001200108,0.0001032005,0.0003256133,0.0001117192,0.0003446539,0.0001411049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198361,"about_ca_system_score_gemma":0.00007675301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001989244,"about_ca_topic_score_gemma":0.0007829193,"domain_scores_codex":[0.9999539,0.000005194848,0.00000327277,0.00001269866,0.00001346216,0.0000115397],"domain_scores_gemma":[0.9999319,0.00001418992,0.00001976885,0.000005194951,0.00001367307,0.00001519809],"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":[0.00002192562,0.00001793962,0.00002813092,0.0000404996,0.000003613472,0.00003224352,0.000005892963,0.0001758377,0.998367,0.00008431935,0.00002031309,0.00120231],"study_design_scores_gemma":[0.00001052557,0.0002252142,0.0007105989,0.000004677194,0.0000189697,0.000087873,0.00001357629,0.003368089,0.9938049,0.00006229257,0.001684854,0.000008471753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823433,0.001800843,0.01328781,0.0001171023,0.00006744923,0.0000374793,0.0001122188,0.0002009443,0.002032861],"genre_scores_gemma":[0.9893228,0.0005163304,0.009023017,0.00003895078,0.00001005889,0.00002310605,0.00008175815,0.00001907412,0.0009648607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005244921,"threshold_uncertainty_score":0.001754582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004838347519955803,"score_gpt":0.171534019353752,"score_spread":0.1666956718337962,"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."}}