{"id":"W3036989854","doi":"10.1002/aenm.202001537","title":"Well‐Defined Nanostructures for Electrochemical Energy Conversion and Storage","year":2020,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Chinesisch-Deutsche Zentrum für Wissenschaftsförderung; Natural Sciences and Engineering Research Council of Canada; Australian Research Council; Griffith University; Fonds de recherche du Québec – Nature et technologies; Deutsche Forschungsgemeinschaft","keywords":"Supercapacitor; Materials science; Nanostructure; Nanotechnology; Electrochemical energy conversion; Energy storage; Electrochemistry; Renewable energy; Electrochemical energy storage; Energy transformation; Electrode; Power (physics); Electrical engineering; Engineering","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":[0.0001748885,0.0002885861,0.000207234,0.000253723,0.0001070502,0.0003458744,0.0002235979,0.0004376272,0.001063218],"category_scores_gemma":[0.000146837,0.0001270618,0.0001450032,0.0002578158,0.0001662495,0.0005642013,0.0002367508,0.0003855974,0.0004323802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120733,"about_ca_system_score_gemma":0.0001523755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002127475,"about_ca_topic_score_gemma":0.0006714851,"domain_scores_codex":[0.9999287,0.00001301662,0.000008004758,0.00001773056,0.00002379622,0.000008743671],"domain_scores_gemma":[0.9999627,0.00001127876,0.000005937101,0.000004449432,0.00001269364,0.000002947145],"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":[0.00003991992,0.00004980895,0.000211874,0.002005161,0.00001992464,0.0002198548,0.00006595645,0.002015991,0.8512168,0.05444283,0.00278303,0.08692893],"study_design_scores_gemma":[0.00001769835,0.0002701508,0.000676768,0.000228145,0.00003380366,0.000535484,0.00006275473,0.008313433,0.7025115,0.01352482,0.2737953,0.00003025059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2090201,0.5071129,0.1960144,0.002624852,0.002544538,0.0003049035,0.001155295,0.0005900363,0.08063297],"genre_scores_gemma":[0.6962934,0.1630097,0.1214016,0.0007633966,0.0002832382,0.0002829767,0.0006056558,0.00004903854,0.01731104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001063218,"threshold_uncertainty_score":0.003556848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007893960995151945,"score_gpt":0.2091446091133917,"score_spread":0.2012506481182398,"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."}}