{"id":"W2593982670","doi":"10.1039/c6ra27216a","title":"Hierarchical CuBi<sub>2</sub>O<sub>4</sub> microspheres as lithium-ion battery anodes with superior high-temperature electrochemical performance","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Wuhan National Laboratory for Optoelectronics; Huazhong University of Science and Technology; National Natural Science Foundation of China; College of Family Physicians of Canada","keywords":"Electrochemistry; Anode; Microsphere; Lithium (medication); Materials science; Ion; Battery (electricity); Lithium-ion battery; Chemical engineering; Chemistry; Electrode; Physical chemistry; Physics; Thermodynamics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001892477,0.0007229332,0.0007109935,0.0000844211,0.000718364,0.0004353113,0.0007901273,0.0002943954,0.00006307087],"category_scores_gemma":[0.00009589704,0.0006326645,0.00008078692,0.0001352259,0.0004668503,0.001906214,0.0001964787,0.0007715751,0.0001873597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001782804,"about_ca_system_score_gemma":0.00006342584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002659266,"about_ca_topic_score_gemma":0.00001834594,"domain_scores_codex":[0.9970413,0.00006903384,0.0005524273,0.0007877938,0.0005105939,0.001038853],"domain_scores_gemma":[0.9983513,0.0001239405,0.0001909963,0.001017989,0.0001051195,0.0002106772],"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":[0.0003035379,0.00005739964,0.001903616,0.0003508142,0.00007430278,0.00004085971,0.000111102,0.001054999,0.988359,0.00005884233,0.0003907629,0.007294754],"study_design_scores_gemma":[0.0008742878,0.0002642136,0.003808287,0.0004061596,0.00004202229,0.0001073797,0.00003561833,0.00008168355,0.9905889,0.0004236903,0.002524794,0.0008429349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955598,0.001337501,0.0005953963,0.0002145681,0.001117995,0.0004222126,0.00005210797,0.0004636157,0.0002368078],"genre_scores_gemma":[0.9928917,0.002575004,0.002889879,0.0002749043,0.0008927064,0.0001605709,0.00008526514,0.000177971,0.00005198169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00645182,"threshold_uncertainty_score":0.9996125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005006131682560011,"score_gpt":0.2169959358733925,"score_spread":0.2119898041908325,"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."}}