{"id":"W2169482698","doi":"10.1002/er.3246","title":"Effect of carbon nanotube loadings on supercapacitor characteristics","year":2014,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Nanocomposite; Supercapacitor; Materials science; Carbon nanotube; Capacitance; Electrode; Horizontal scan rate; Composite material; Scanning electron microscope; Electrochemistry; Equivalent series resistance; Cyclic voltammetry; Chemistry; Electrical engineering","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":[0.003837782,0.0001117129,0.0002941086,0.0004075492,0.00004809434,0.0001014408,0.0007260095,0.00008356747,0.0002454268],"category_scores_gemma":[0.001432605,0.0000827112,0.00009445184,0.0001180395,0.0001716125,0.0001667087,0.00007479863,0.0001746914,0.00002250021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343699,"about_ca_system_score_gemma":0.00006049769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001563447,"about_ca_topic_score_gemma":0.000001857897,"domain_scores_codex":[0.9969546,0.0006800851,0.00053268,0.0001553449,0.001456625,0.0002206287],"domain_scores_gemma":[0.9972433,0.0008995323,0.0002274475,0.0001824001,0.001350779,0.00009657322],"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":[0.0006896183,0.00007135757,0.001056616,0.00001577567,0.0000237649,0.00001023708,0.0001060893,0.00001094487,0.9885395,0.003935549,0.0002579968,0.005282519],"study_design_scores_gemma":[0.000523077,0.00155712,0.001166229,0.000167039,0.000007783845,0.00004102237,0.00001894538,0.0001649197,0.9913577,0.0003219835,0.004597212,0.0000769111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943837,0.00002859348,0.0001090441,0.0002304885,0.002913773,0.00003546512,0.00001217623,0.000007522462,0.002279223],"genre_scores_gemma":[0.997794,0.00005974851,0.00008793842,0.00003907665,0.001877313,0.000005306715,0.000004397882,0.00001639773,0.0001158141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005205608,"threshold_uncertainty_score":0.3372865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364776045644781,"score_gpt":0.3252830859421337,"score_spread":0.3016353254856859,"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."}}