{"id":"W2998435434","doi":"10.3390/nano10010112","title":"Self-Healable Electro-Conductive Hydrogels Based on Core-Shell Structured Nanocellulose/Carbon Nanotubes Hybrids for Use as Flexible Supercapacitors","year":2020,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Qinglan Project of Jiangsu Province of China; Government of Jiangsu Province; Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Nanjing Forestry University","keywords":"Materials science; Supercapacitor; Carbon nanotube; Composite number; Composite material; Polyaniline; Self-healing hydrogels; Capacitance; Nanotechnology; Electrode; Polymer; Polymer chemistry; Polymerization","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007295695,0.0007218583,0.001043534,0.0001830469,0.0003905204,0.0006842305,0.0006492626,0.0003842475,0.0013337],"category_scores_gemma":[0.0005469999,0.0006496928,0.0002224448,0.0003699613,0.0001713422,0.0007467608,0.00008139038,0.0001134946,0.0003392664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002832794,"about_ca_system_score_gemma":0.0003504549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002146858,"about_ca_topic_score_gemma":0.000001739296,"domain_scores_codex":[0.9955714,0.0003532212,0.001018549,0.001331973,0.00065238,0.001072435],"domain_scores_gemma":[0.9977965,0.0003917091,0.0003340606,0.0007588625,0.0003199764,0.000398884],"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":[0.00120847,0.0001491378,0.0001520238,0.0002266331,0.00003315705,0.000008293363,0.0005113159,0.00006184308,0.9955001,0.001297644,0.0008063868,0.00004497082],"study_design_scores_gemma":[0.001681261,0.001402516,0.00005836779,0.000049668,0.0001016411,0.00001439261,0.00009575077,0.001822161,0.9811931,0.0007752734,0.01206069,0.0007451289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918408,0.00006965124,0.0001095998,0.0003063679,0.003463682,0.001988601,0.0007527244,0.0009304454,0.000538167],"genre_scores_gemma":[0.9859584,0.00002416818,0.01046855,0.001408357,0.001241274,0.0003963487,0.0002357605,0.000164277,0.0001028943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01430697,"threshold_uncertainty_score":0.9995954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641175782497564,"score_gpt":0.2534859009839877,"score_spread":0.217074143159012,"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."}}