{"id":"W3135818289","doi":"10.3390/nano11030653","title":"Hetero-Porous, High-Surface Area Green Carbon Aerogels for the Next-Generation Energy Storage Applications","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Vetenskapsrådet","keywords":"Supercapacitor; Aerogel; Materials science; Renewable energy; Energy storage; Carbon fibers; Carbonization; Capacitance; Specific surface area; Nanotechnology; Chemical engineering; Composite material; Electrode; Chemistry; Composite number; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0006214278,0.0002690446,0.0003902751,0.0000321209,0.0004371991,0.0005852793,0.0003829597,0.0001762664,0.0006336992],"category_scores_gemma":[0.00006283022,0.0002088779,0.00008384052,0.0001667018,0.00008938221,0.0002531809,0.0001009144,0.00002966701,0.00003838115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050383,"about_ca_system_score_gemma":0.000117685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008120479,"about_ca_topic_score_gemma":0.0001020668,"domain_scores_codex":[0.9978751,0.00024758,0.0005996557,0.0005934755,0.0002933981,0.0003908089],"domain_scores_gemma":[0.9983591,0.0001972603,0.0002514491,0.0008114883,0.0002968132,0.00008382861],"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":[0.00002710351,0.00004761957,0.00001570913,0.00003106911,0.00001732944,0.000002055423,0.0001163053,0.0001723238,0.9954058,0.003147396,0.0003759706,0.0006413493],"study_design_scores_gemma":[0.0003528908,0.00004385512,0.00009754735,0.00001107233,0.0000627488,0.00002190642,0.00007027893,0.0006619838,0.9858967,0.0005755142,0.01194349,0.0002619921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985677,0.0007532196,0.008712569,0.0005354838,0.002991123,0.0006758692,0.0003822017,0.0001752548,0.00009726011],"genre_scores_gemma":[0.9931092,0.0001377182,0.002737022,0.0003168442,0.001883207,0.0009882255,0.0003768316,0.00005328478,0.0003976478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156752,"threshold_uncertainty_score":0.8517795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05265088180954293,"score_gpt":0.2471917431581871,"score_spread":0.1945408613486442,"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."}}