{"id":"W2475636655","doi":"10.1109/dtip.2016.7514888","title":"Potentialities of micro-supercapacitors as energy storage buffers in embedded micro-systems","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Supercapacitor; Capacitance; Materials science; Energy storage; Fabrication; Nanotechnology; Electrode; Optoelectronics; Power (physics); 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":[0.0002799303,0.0003061742,0.0002602909,0.0002796564,0.0002324141,0.0008181515,0.0005921529,0.000434395,0.002250178],"category_scores_gemma":[0.000408371,0.0001831658,0.0001555362,0.0002599705,0.0005239677,0.001143395,0.000434157,0.0003549798,0.0006232538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597004,"about_ca_system_score_gemma":0.0002049952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002240638,"about_ca_topic_score_gemma":0.000346949,"domain_scores_codex":[0.9999034,0.00002322534,0.000005136868,0.00001966397,0.00003250864,0.00001594526],"domain_scores_gemma":[0.9998288,0.00008958868,0.00001001922,0.00002317047,0.00003125642,0.00001712083],"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":[0.0004225484,0.0001822073,0.001245448,0.001021822,0.00008502159,0.0007918919,0.0003816379,0.0207152,0.789265,0.09623526,0.003058993,0.08659497],"study_design_scores_gemma":[0.0000542864,0.0003140072,0.0008224373,0.00008934418,0.00006890558,0.0003484903,0.0001495617,0.06162744,0.8665435,0.02607354,0.04385312,0.00005535018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.74634,0.05196777,0.1405866,0.004016783,0.0009406576,0.000185359,0.0007428869,0.002242917,0.05297708],"genre_scores_gemma":[0.9590989,0.007634429,0.0260224,0.0001826678,0.0001364699,0.000059757,0.000131942,0.00007225978,0.006661107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002250178,"threshold_uncertainty_score":0.00752753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704158619244883,"score_gpt":0.2361209176273188,"score_spread":0.2190793314348699,"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."}}