{"id":"W3128163673","doi":"10.21203/rs.3.rs-188518/v1","title":"Fabrication of Reduced Graphene Oxide-Cellulose Nanofibers Based Hybrid Film with Good Hydrophilicity and Conductivity as Electrodes of Supercapacitor","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Shaanxi University of Science and Technology; China Postdoctoral Science Foundation; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Materials science; Supercapacitor; Graphene; Nanofiber; Oxide; Capacitance; Fabrication; Conductivity; Cellulose; Substrate (aquarium); Electrode; Composite material; Nanotechnology; Chemical engineering","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":[0.0001366373,0.0003499902,0.0002235118,0.0003469143,0.00015816,0.0002409007,0.0003030803,0.000338725,0.0008814562],"category_scores_gemma":[0.0001319995,0.0001501019,0.0002213957,0.0002843794,0.00009153912,0.0003907401,0.0001298873,0.0002456839,0.0002529539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643255,"about_ca_system_score_gemma":0.0001037925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005550965,"about_ca_topic_score_gemma":0.001413432,"domain_scores_codex":[0.9999194,0.000005448972,0.000006664059,0.00002446853,0.00003273296,0.00001122666],"domain_scores_gemma":[0.9999307,0.0000126835,0.00001301609,0.00001009483,0.00001893354,0.00001452198],"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":[0.0000123759,0.000006861645,0.00003358108,0.00002945229,0.000003785095,0.00005115456,0.000006178417,0.00006650879,0.9984384,0.00004491164,0.00005295954,0.001253804],"study_design_scores_gemma":[0.000004747953,0.00003326314,0.0005560282,0.000002775797,0.000006858747,0.00006362391,0.000007491044,0.001165281,0.9971339,0.00001833521,0.001003178,0.000004584352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972822,0.002220495,0.01945792,0.0001921205,0.0001793219,0.00007320764,0.0009206114,0.0003594294,0.003774903],"genre_scores_gemma":[0.9693075,0.0009405584,0.02462606,0.00006251828,0.00003174327,0.00006075183,0.0004529688,0.00004820775,0.004469553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008814562,"threshold_uncertainty_score":0.002948761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489154598895245,"score_gpt":0.3054654685442184,"score_spread":0.2705739225552659,"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."}}