{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004220359,0.000807574,0.0004684975,0.0005624257,0.0002500103,0.0006358242,0.0004357602,0.000661963,0.001845065],"category_scores_gemma":[0.002172236,0.0004108511,0.0002232773,0.0006923737,0.0002159284,0.0007187185,0.0002254615,0.0005100615,0.0005229925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739425,"about_ca_system_score_gemma":0.0001810687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828135,"about_ca_topic_score_gemma":0.001580833,"domain_scores_codex":[0.9994565,0.00006885159,0.00008714063,0.0001176677,0.0001948793,0.00007499344],"domain_scores_gemma":[0.9981086,0.001047075,0.0001545565,0.0001059906,0.0004249494,0.0001588118],"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":[0.0003713546,0.0000659151,0.0004692592,0.00009782594,0.00002099923,0.0001635719,0.00005338274,0.0008050646,0.9935522,0.00003983502,0.0001040261,0.004256597],"study_design_scores_gemma":[0.000003931504,0.0001606788,0.001530669,0.000006592889,0.00001898745,0.00004960806,0.00001900539,0.001889241,0.9958286,0.00001703801,0.0004678629,0.000007810195],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960788,0.000699852,0.001161513,0.00007715501,0.00004163241,0.00002410913,0.0003469803,0.0001077587,0.001462184],"genre_scores_gemma":[0.995245,0.0007566526,0.001785569,0.00003645622,0.00001574506,0.00004238881,0.0004647264,0.00007976543,0.001573727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001845065,"threshold_uncertainty_score":0.006172359,"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."}}