{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000745424,0.0003559707,0.0006720447,0.00007052929,0.0002172955,0.0002979263,0.000156741,0.0001752129,0.0001902567],"category_scores_gemma":[0.00006858118,0.000250942,0.00003047076,0.0001233937,0.0002103828,0.0005561342,0.0000379343,0.0001278844,0.000005689367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009399751,"about_ca_system_score_gemma":0.000174341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000126675,"about_ca_topic_score_gemma":0.000002813605,"domain_scores_codex":[0.9979575,0.0001055768,0.0007802107,0.0004524229,0.000375592,0.0003286426],"domain_scores_gemma":[0.9988151,0.0000641168,0.0004895118,0.0001781681,0.0002565801,0.0001964766],"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":[0.004624916,0.00009790158,0.0009496124,0.001014543,0.00005709543,0.00001151805,0.0006357645,0.00003714074,0.9924378,0.000002013177,0.00009163681,0.00004010585],"study_design_scores_gemma":[0.002703031,0.0008165388,0.00118159,0.0002309077,0.0001483759,0.0006052468,0.0004419253,0.0001045085,0.992992,0.000003318629,0.0004462246,0.0003262938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982755,0.00007942339,0.0000377334,0.0001961905,0.0003654043,0.0007989304,0.0001672844,0.00006559813,0.00001398607],"genre_scores_gemma":[0.9973696,0.00004269587,0.0012957,0.00009778215,0.0008255293,0.0001840952,0.0001151073,0.00005009018,0.00001939435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001921885,"threshold_uncertainty_score":0.9999943,"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."}}