{"id":"W4366820250","doi":"10.1002/smll.202301947","title":"Multi‐Responsive Supercapacitors from Chiral Nematic Cellulose Nanocrystal‐Based Activated Carbon Aerogels","year":2023,"lang":"en","type":"article","venue":"Small","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"European Social Fund; Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Eusko Jaurlaritza; Euskal Herriko Unibertsitatea; Canada Foundation for Innovation","keywords":"Supercapacitor; Materials science; Aerogel; Liquid crystal; Nanotechnology; Nanoparticle; Nanocrystal; Chemical engineering; Carbon fibers; Ionic liquid; Energy storage; Cobalt oxide; Superparamagnetism; Cobalt; Capacitance; Composite number; Magnetization; Electrode; Composite material; Organic chemistry; Catalysis; Optoelectronics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004417374,0.0003088377,0.0003882143,0.000198432,0.0001471389,0.0001727625,0.000391026,0.0001907052,0.0007143676],"category_scores_gemma":[0.000278746,0.0002770039,0.0001077586,0.0004694064,0.0001340517,0.0001886892,0.00009005497,0.0001191075,0.0009957752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108619,"about_ca_system_score_gemma":0.0001059127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454178,"about_ca_topic_score_gemma":0.00006995681,"domain_scores_codex":[0.9977439,0.0003396911,0.0004524906,0.000578431,0.0003354621,0.0005500185],"domain_scores_gemma":[0.9987129,0.0003004085,0.0001244882,0.0005806641,0.0001162429,0.0001652893],"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":[0.0001026498,0.00007276385,0.0005401275,0.00003832778,0.00001185135,0.00002294668,0.001199404,0.00005269395,0.9976873,0.00002371423,0.000177587,0.00007068065],"study_design_scores_gemma":[0.0007725135,0.00006688852,0.006313683,0.00007191936,0.00003233845,0.00000165892,0.0005543834,0.003767271,0.9876072,0.0002177269,0.0002422982,0.0003521667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961603,0.0000338098,0.0001132596,0.000197888,0.002053922,0.0004496717,0.0001685156,0.0006382158,0.0001844293],"genre_scores_gemma":[0.9960063,0.000004886053,0.002761293,0.0001249432,0.0003472118,0.0001078074,0.0001838455,0.00006146301,0.0004023156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100801,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532692132114958,"score_gpt":0.2438592678648763,"score_spread":0.2085323465437267,"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."}}