{"id":"W2726011624","doi":"10.14447/jnmes.v20i3.268","title":"Green Functionalization and Supercapacitive Properties of Carbon Nanotubes by Atmospheric Pressure Non-Thermal Plasma Treatment","year":2017,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface modification; Carbon nanotube; Materials science; X-ray photoelectron spectroscopy; Heteroatom; Atmospheric pressure; Carbon fibers; Plasma; Nitrogen; Atmospheric-pressure plasma; Chemical engineering; Capacitance; Thermal treatment; Electrode; Nanotechnology; Chemistry; Organic chemistry; Composite material; Composite number; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009271959,0.0002870541,0.0001255337,0.0001841241,0.0001308491,0.0001140627,0.0001517603,0.0002673013,0.0007117002],"category_scores_gemma":[0.000142642,0.000115357,0.0001897272,0.0001453006,0.0001447243,0.0001820304,0.0001324398,0.000224098,0.0001525056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470196,"about_ca_system_score_gemma":0.00008480255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003329805,"about_ca_topic_score_gemma":0.0006883052,"domain_scores_codex":[0.9998888,0.00001027015,0.000005253425,0.00002228752,0.00005306035,0.00002035914],"domain_scores_gemma":[0.9999276,0.00001648601,0.00001508564,0.00001029537,0.00002002804,0.00001046861],"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":[0.00001473013,0.000004178929,0.00004006681,0.00001489954,0.000001063226,0.00002103696,0.000006797194,0.00006910582,0.9990921,0.00002853392,0.00001862935,0.0006887645],"study_design_scores_gemma":[0.000001449165,0.00006075472,0.0009766812,0.00000110544,0.000002180496,0.00005942742,0.000006031922,0.0006858367,0.9978053,0.00002145437,0.0003777494,0.00000220198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953128,0.0004062094,0.002674874,0.00004656082,0.00001924797,0.00001118594,0.000154275,0.00004236594,0.001332612],"genre_scores_gemma":[0.9948718,0.0002974577,0.003013953,0.00002057085,0.00000511959,0.00002021328,0.0002007807,0.00001682295,0.001553293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007117002,"threshold_uncertainty_score":0.002380908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719120857753342,"score_gpt":0.2244968747204392,"score_spread":0.2073056661429058,"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."}}