{"id":"W2063507404","doi":"10.1039/c5ra02996a","title":"α-NiS grown on reduced graphene oxide and single-wall carbon nanotubes as electrode materials for high-power supercapacitors","year":2015,"lang":"en","type":"article","venue":"RSC Advances","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Supercapacitor; Graphene; Carbon nanotube; Oxide; Materials science; Electrode; Nanotechnology; Chemical engineering; Carbon fibers; Capacitance; Chemistry; Composite material; Metallurgy; Composite number","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006552531,0.0003239369,0.0004532254,0.0001163713,0.0001600145,0.0002176092,0.0002395524,0.000137329,0.00008084755],"category_scores_gemma":[0.000421192,0.0002709613,0.00004522678,0.0001326851,0.0001963741,0.000573265,0.00004034084,0.00005173157,0.00003358229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387184,"about_ca_system_score_gemma":0.00006445046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003873742,"about_ca_topic_score_gemma":0.00002422762,"domain_scores_codex":[0.9978588,0.000121477,0.000438844,0.0006295854,0.0004374919,0.000513854],"domain_scores_gemma":[0.9989381,0.0001423448,0.0001385007,0.0003588233,0.0002390027,0.0001832572],"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":[0.0003747905,0.00008217608,0.00005266789,0.00003420706,0.000008893832,0.000002202699,0.0004464508,0.000006686899,0.9930632,0.00561151,0.0001525834,0.0001647072],"study_design_scores_gemma":[0.000643302,0.0008951794,0.0002407211,0.00005161644,0.00002699903,0.00001625912,0.0003581683,0.000002475357,0.9825149,0.01070427,0.004185092,0.0003610115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995144,0.0005643437,0.00004885941,0.0003123461,0.002703944,0.0004823313,0.0000649853,0.0001742238,0.0005049683],"genre_scores_gemma":[0.9966564,0.000119046,0.002212646,0.000207185,0.0004750472,0.000178198,0.00002961759,0.00005080703,0.00007101085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01054822,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003109851969646,"score_gpt":0.2476052455641396,"score_spread":0.2275741470444431,"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."}}