{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001875559,0.0003807953,0.0002901122,0.0002872621,0.0001703977,0.0003212138,0.0003671705,0.0004684321,0.001184688],"category_scores_gemma":[0.0004048622,0.0001695868,0.0001197167,0.000311211,0.0001722221,0.0003064268,0.0001870418,0.0003153551,0.0002075927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002458601,"about_ca_system_score_gemma":0.0001128653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009467495,"about_ca_topic_score_gemma":0.002636107,"domain_scores_codex":[0.9997687,0.00002259519,0.00002506436,0.00005742293,0.00008981511,0.00003636536],"domain_scores_gemma":[0.999817,0.0000433912,0.00002371858,0.00001341681,0.00006313407,0.00003939313],"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":[0.0001273754,0.00001939053,0.0001810311,0.00003910449,0.000005309192,0.00003743995,0.00002413237,0.000154612,0.9973653,0.00003217135,0.00003642152,0.001977679],"study_design_scores_gemma":[0.00000384249,0.0001012919,0.001291931,0.000003288574,0.000009125551,0.00003883076,0.0000198752,0.002476402,0.9956388,0.00001371186,0.0003989703,0.000003976816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99674,0.0005096399,0.00150379,0.00005182783,0.00003582064,0.00001222466,0.0001645852,0.00007791216,0.0009041879],"genre_scores_gemma":[0.9957151,0.0002699799,0.002465116,0.0000164537,0.000006969959,0.00001219303,0.0001191144,0.00001590762,0.001379179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001184688,"threshold_uncertainty_score":0.003963232,"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."}}