{"id":"W2914473004","doi":"10.1016/j.electacta.2019.01.160","title":"Modulating the energy storage of supercapacitors by mixing close-to-ideal and far-from-ideal capacitive carbon nanofibers","year":2019,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"University of Sharjah","keywords":"Supercapacitor; Pseudocapacitor; Materials science; Carbon nanofiber; Energy storage; Capacitance; Power density; Carbon fibers; Capacitor; Nanotechnology; Electrode; Optoelectronics; Carbon nanotube; Power (physics); Composite material; Electrical engineering; Chemistry; Physics; Voltage","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":[0.0001896802,0.0003534384,0.0001395964,0.000204784,0.0002231968,0.0004542547,0.0003051339,0.0003154934,0.001291274],"category_scores_gemma":[0.0004606426,0.0001194142,0.00008690543,0.0001681842,0.0004032785,0.0008698572,0.0002200744,0.0003688223,0.0001643452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003500795,"about_ca_system_score_gemma":0.0001345127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202562,"about_ca_topic_score_gemma":0.0006258821,"domain_scores_codex":[0.9998536,0.00001069672,0.000008840837,0.00004482466,0.00004661427,0.00003547678],"domain_scores_gemma":[0.9998012,0.00005900914,0.00005478123,0.00001622228,0.00003674262,0.00003204504],"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":[0.000159909,0.00001745806,0.00007861992,0.00003267466,0.000002890527,0.00005425289,0.0000431003,0.0003747893,0.9968582,0.0007613291,0.00005219445,0.001564521],"study_design_scores_gemma":[0.0000161212,0.00007797143,0.0003539461,0.00000405254,0.000003281778,0.00003034759,0.00003127046,0.003840131,0.9946874,0.0002124626,0.0007347424,0.000008195549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934661,0.0002694508,0.003018643,0.0001264931,0.00006439157,0.00001206021,0.00005031635,0.00007004653,0.002922412],"genre_scores_gemma":[0.9978902,0.0001256331,0.001327707,0.00002443155,0.00001537845,0.000008708387,0.00002545553,0.00001426517,0.0005682754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001291274,"threshold_uncertainty_score":0.004319727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005798254632426638,"score_gpt":0.1998891449376252,"score_spread":0.1940908903051985,"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."}}