{"id":"W3081519272","doi":"10.1002/celc.202000985","title":"Cover Feature: Two‐Dimensional NiO@C‐N Nanosheets Composite as a Superior Low‐Temperature Anode Material for Advanced Lithium‐/Sodium‐Ion Batteries (ChemElectroChem 17/2020)","year":2020,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anode; Nanosheet; Non-blocking I/O; Materials science; Lithium (medication); Electrolyte; Composite number; Electrochemistry; Ion; Atmospheric temperature range; Electrode; Sodium; Chemical engineering; Nanotechnology; Composite material; Metallurgy; Chemistry; Thermodynamics; Physics; Catalysis; Physical 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001296905,0.00102274,0.001032204,0.00008508025,0.0002857677,0.0002919877,0.0006291032,0.0004240218,0.001271472],"category_scores_gemma":[0.00009412552,0.001084397,0.0002137389,0.0004311801,0.0001244826,0.0006310094,0.0001991141,0.0005379372,0.0001937851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003472783,"about_ca_system_score_gemma":0.0001179516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001603666,"about_ca_topic_score_gemma":0.000001593259,"domain_scores_codex":[0.9962407,0.00004927498,0.0007256174,0.001071488,0.0005482021,0.001364771],"domain_scores_gemma":[0.998569,0.0001005268,0.0001663575,0.0005728183,0.0002298097,0.0003615067],"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":[0.001522471,0.00006343526,0.00001203196,0.0005378313,0.0001830852,0.0000246213,0.0004196448,0.001051132,0.9431096,0.00003422859,0.0529021,0.000139821],"study_design_scores_gemma":[0.003077251,0.0004016295,0.00002133032,0.0001222233,0.00008808467,0.00008355077,0.00003002726,0.0005342345,0.9742943,0.0001969502,0.02002074,0.001129669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925765,0.0007146938,0.000539869,0.001770164,0.001232462,0.001272506,0.0003412842,0.001012497,0.000539972],"genre_scores_gemma":[0.9814425,0.00006620259,0.007802554,0.005038362,0.001969265,0.0005728764,0.001887238,0.0003624047,0.0008585894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03288136,"threshold_uncertainty_score":0.9996415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005246281976837941,"score_gpt":0.2220296370625538,"score_spread":0.2167833550857158,"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."}}