{"id":"W1979758197","doi":"10.1149/2.0221505jes","title":"Electrochemical Performance of Carbon/MnO<sub>2</sub>Nanocomposites Prepared via Molecular Bridging as Supercapacitor Electrode Materials","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Nanocomposite; Supercapacitor; Manganese; Materials science; Electrochemistry; Amorphous carbon; Carbon fibers; Electrode; Oxide; Inorganic chemistry; Chemical engineering; Capacitance; Manganese oxide; Amorphous solid; Nanotechnology; Chemistry; Composite number; Composite material; Organic chemistry; Metallurgy; Physical 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001152909,0.0003466897,0.0006997663,0.00004660448,0.0001167388,0.00009878939,0.0009277149,0.0002703087,0.00002709081],"category_scores_gemma":[0.0003581335,0.0002560133,0.0004337143,0.0003630167,0.0002546017,0.0003046269,0.0001539586,0.0004023188,0.000008939843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005213058,"about_ca_system_score_gemma":0.000389245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001625044,"about_ca_topic_score_gemma":3.290792e-7,"domain_scores_codex":[0.9966776,0.0002258355,0.001056958,0.0003463094,0.0009966773,0.0006965605],"domain_scores_gemma":[0.9976979,0.00008546579,0.000722209,0.0004458745,0.0008065182,0.0002420246],"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":[0.0004082414,0.0001322104,0.0001855685,0.00005851614,0.00007825655,0.000001271393,0.0004475326,0.000002655063,0.9982738,0.0000254956,0.0003514454,0.00003494265],"study_design_scores_gemma":[0.0006518702,0.0004295615,0.00007888679,0.00008768814,0.0001305648,0.0003914968,0.00005163984,0.0001909756,0.9971204,0.0005345059,0.00005035918,0.0002820319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971016,0.0004422799,0.001143981,0.0003895477,0.0005812205,0.0002407611,0.000004745867,0.00004198969,0.00005385436],"genre_scores_gemma":[0.996012,0.00008970538,0.002758759,0.0002468629,0.0008154,0.00001582336,0.000006511918,0.00004767275,0.00000726214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001614778,"threshold_uncertainty_score":0.9999892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00705170573551766,"score_gpt":0.2120077570056849,"score_spread":0.2049560512701672,"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."}}