{"id":"W3022567685","doi":"10.1149/ma2018-01/44/2604","title":"Decorating Graphene Oxide with Ionic Liquid Nanodroplets: An Approach Leading to Energy Dense, High Voltage Supercapacitors","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Supercapacitor; Capacitance; Electrolyte; Materials science; Ionic liquid; Power density; Ionic conductivity; Electrode; Graphene; Electrochemistry; Capacitor; Energy storage; Chemical engineering; Electrochemical window; Oxide; Voltage; Nanotechnology; Electrical engineering; Chemistry; Power (physics); Thermodynamics; Organic chemistry; Physics","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":[0.00006534676,0.000435346,0.0002228819,0.0003838035,0.0001746519,0.0004242281,0.0004880688,0.0005867377,0.000938286],"category_scores_gemma":[0.0001473764,0.0001912631,0.0003073452,0.0003700021,0.0002276366,0.0004381387,0.0004561676,0.0006822294,0.0005201374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778513,"about_ca_system_score_gemma":0.0001145175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004293879,"about_ca_topic_score_gemma":0.0008736036,"domain_scores_codex":[0.9998984,0.000005827765,0.000005990511,0.00002371386,0.00004460611,0.00002151829],"domain_scores_gemma":[0.9999509,0.000007100195,0.00001308344,0.000005542155,0.000009185426,0.00001418324],"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":[0.00002844442,0.00004809814,0.00008037855,0.0001299952,0.000009619874,0.0002257295,0.00004529032,0.0009742093,0.9874973,0.001269341,0.0006079469,0.009083495],"study_design_scores_gemma":[0.0000140712,0.0001530195,0.0004046674,0.0000134575,0.00001754031,0.0001440453,0.0000219248,0.00752111,0.9832042,0.0003303524,0.008153754,0.00002175459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8850631,0.009263624,0.07715457,0.0008417962,0.0005909153,0.000221954,0.001119119,0.002265634,0.02347934],"genre_scores_gemma":[0.9741276,0.003086308,0.01824734,0.0003106565,0.00007595003,0.00007537372,0.0003032721,0.00009916422,0.00367428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000938286,"threshold_uncertainty_score":0.0031389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646669940928481,"score_gpt":0.2316017702064887,"score_spread":0.2151350707972039,"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."}}