{"id":"W3021967610","doi":"10.1039/d0ta03664a","title":"A smart porous wood-supported flower-like NiS/Ni conjunction with vitrimer co-effect as a multifunctional material with reshaping, shape-memory, and self-healing properties for applications in high-performance supercapacitors, catalysts, and sensors","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Shaanxi University of Science and Technology; China Postdoctoral Science Foundation; Northwestern Polytechnical University","keywords":"Supercapacitor; Self-healing; Materials science; Smart material; Porosity; Shape-memory alloy; Energy storage; Composite material; Nanotechnology; Electrode; Electrochemistry","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":[0.00006167089,0.0002514676,0.0001673019,0.0002108133,0.0001339055,0.0002611226,0.0004273932,0.0003114619,0.001133187],"category_scores_gemma":[0.00009694359,0.0001376452,0.0001515961,0.0001763637,0.0001690038,0.0003209457,0.0002467965,0.0001968347,0.0004436834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493446,"about_ca_system_score_gemma":0.00009585156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000387635,"about_ca_topic_score_gemma":0.001300957,"domain_scores_codex":[0.9999412,0.000005609714,0.000004347752,0.00001948795,0.00001377571,0.00001559722],"domain_scores_gemma":[0.9999651,0.000004748293,0.00000813156,0.000005236468,0.000004612129,0.00001215527],"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":[0.0000777213,0.00002047694,0.00008095599,0.0001271581,0.000009136117,0.000158832,0.00002544026,0.0001919097,0.993866,0.0005312802,0.0003151323,0.004595924],"study_design_scores_gemma":[0.00001201785,0.0001774969,0.0005432049,0.000005941307,0.0000208683,0.0001636168,0.00002239149,0.00204737,0.9915894,0.00007135491,0.005330808,0.00001549081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738918,0.002689466,0.01093574,0.0001834079,0.0001795644,0.00004403762,0.000377947,0.0007415427,0.0109565],"genre_scores_gemma":[0.9922205,0.0005496998,0.00387893,0.00004715669,0.00001351625,0.00001543176,0.0001650473,0.00003709057,0.003072707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001133187,"threshold_uncertainty_score":0.003790855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126537064990193,"score_gpt":0.2160433621270676,"score_spread":0.2033896556280483,"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."}}