{"id":"W3088249502","doi":"10.1002/adma.202004654","title":"Mesoporous Nanoarchitectures for Electrochemical Energy Conversion and Storage","year":2020,"lang":"en","type":"review","venue":"Advanced Materials","topic":"Supercapacitor Materials and Fabrication","field":"Materials Science","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"Australian Research Council; National Natural Science Foundation of China; Japan Science and Technology Agency; Higher Education Discipline Innovation Project; Australian National Fabrication Facility","keywords":"Mesoporous material; Materials science; Nanomaterials; Nanotechnology; Supercapacitor; Energy storage; Electrochemical energy conversion; Nanostructure; Lithium (medication); Electrochemical energy storage; Graphene; Electrochemistry; Mesoporous organosilica; Electrode; Mesoporous silica; Catalysis; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003257319,0.00055177,0.001905692,0.00008609224,0.0001486678,0.0001848476,0.0003512148,0.0003423541,0.0003089809],"category_scores_gemma":[0.0002368894,0.0004441271,0.000160905,0.00009697164,0.000125336,0.0001619685,0.0001541094,0.00007351956,0.00004846329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442732,"about_ca_system_score_gemma":0.0001390859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613114,"about_ca_topic_score_gemma":8.326411e-7,"domain_scores_codex":[0.9975153,0.0002085284,0.0007314291,0.0008370255,0.0002552968,0.0004524576],"domain_scores_gemma":[0.9986937,0.0002622273,0.0004406137,0.0003555661,0.00009118709,0.0001566755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008032364,0.00001429138,6.463756e-9,0.005371524,0.0000201024,0.00000473574,0.00003477863,1.189969e-7,0.8821799,0.0006556548,0.0002657738,0.1113728],"study_design_scores_gemma":[0.0002041002,0.0001008959,4.853876e-8,0.0006520082,0.0001698974,0.00004092084,0.000005559186,4.47493e-7,0.3599705,0.0004051956,0.6381194,0.0003310371],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001793639,0.9933984,0.001367256,0.00003577351,0.001645421,0.0009141849,0.0006148313,0.0002018059,0.00002864833],"genre_scores_gemma":[0.001153638,0.9935234,0.003197664,0.000116665,0.0007898182,0.0006180481,0.0004328562,0.0001182486,0.00004966617],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6378536,"threshold_uncertainty_score":0.999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644849609749672,"score_gpt":0.2750748641789508,"score_spread":0.2586263680814541,"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."}}