{"id":"W2983456969","doi":"10.1021/acsomega.9b03026","title":"Facile Approach for Synthesizing High-Performance MnO/C Electrodes from Rice Husk","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Science Foundation of Hubei Province; H2020 Marie Skłodowska-Curie Actions; University of Toronto; University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nanocomposite; Materials science; Crystallinity; Calcination; Pyrolysis; Chemical engineering; Microstructure; Nanoparticle; Carbon fibers; Electrochemistry; Husk; Porosity; Specific surface area; Current density; Electrode; Composite material; Nanotechnology; Composite number; Catalysis; Chemistry; Organic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008935572,0.0003053565,0.00008505807,0.0002629208,0.0001846595,0.0001825105,0.0002214797,0.0002505866,0.001460494],"category_scores_gemma":[0.0001258351,0.0001114643,0.0001124733,0.0001330483,0.0001552405,0.000230733,0.0002044593,0.00062285,0.0004903458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381032,"about_ca_system_score_gemma":0.0003500935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001234366,"about_ca_topic_score_gemma":0.003162371,"domain_scores_codex":[0.9999398,0.000004019834,0.000004264002,0.00001543198,0.00002735873,0.000009005749],"domain_scores_gemma":[0.999971,0.000003612394,0.000008023592,0.000004732101,0.000006051727,0.000006570392],"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":[0.0000162562,0.00003305693,0.0000572346,0.00006256859,0.000005627286,0.00004652772,0.0000145671,0.0001407448,0.9946269,0.0003781334,0.0002797751,0.004338667],"study_design_scores_gemma":[0.0000136945,0.00007506888,0.001001552,0.0000040533,0.000006426492,0.0002044718,0.0000168517,0.001528873,0.990696,0.000133548,0.006310917,0.000008605159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366917,0.003801243,0.1285739,0.001173766,0.0003057633,0.0004792117,0.001931768,0.001347869,0.02569482],"genre_scores_gemma":[0.9338386,0.001345799,0.05697691,0.0001339605,0.00002730276,0.0001540165,0.0008727701,0.00005307998,0.006597531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460494,"threshold_uncertainty_score":0.004885852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491842239266015,"score_gpt":0.211445691153947,"score_spread":0.1965272687612869,"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."}}