{"id":"W2594337384","doi":"10.1016/j.jcis.2017.03.005","title":"Facile hydrothermal synthesis and characterization of Co 2 GeO 4 /r-GO@C ternary nanocomposite as negative electrode for Li-ion batteries","year":2017,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Ternary operation; Calcination; Nanocomposite; Composite number; Materials science; Hydrothermal circulation; Raman spectroscopy; Chemical engineering; Nanoparticle; Analytical Chemistry (journal); Nanotechnology; Mineralogy; Chemistry; Catalysis; Composite material; Chromatography; Organic chemistry; Computer science; Physics","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":[0.0001299883,0.0002144853,0.0002123609,0.0002898269,0.0001540988,0.0002665533,0.0003081453,0.0003175063,0.0007015453],"category_scores_gemma":[0.0001831861,0.0001607054,0.0001399958,0.0001298764,0.0001863011,0.0002123499,0.0001764126,0.0002531042,0.0002082489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597187,"about_ca_system_score_gemma":0.0002054973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008799394,"about_ca_topic_score_gemma":0.003604053,"domain_scores_codex":[0.9999082,0.000007380087,0.000007301233,0.00001627803,0.00004659073,0.00001424871],"domain_scores_gemma":[0.9999225,0.000014873,0.00001506829,0.000006995414,0.00002819286,0.00001234326],"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":[0.00002391184,0.000007758879,0.00005200421,0.0000254046,0.00000158847,0.00002661277,0.00001027744,0.0000681263,0.9990215,0.00003575284,0.00002311192,0.0007039724],"study_design_scores_gemma":[0.000003024233,0.00004819223,0.0007153201,0.000001849096,0.000007057586,0.0000539588,0.00001269589,0.001172905,0.9973616,0.00001580275,0.0006022579,0.000005433459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992914,0.0004714591,0.004648242,0.00007981384,0.00002166584,0.00002452937,0.0001633283,0.0001467501,0.00153036],"genre_scores_gemma":[0.9950824,0.0002028431,0.002780162,0.00001779722,0.000003996082,0.00001107915,0.0001122588,0.00002427671,0.00176524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008799394,"threshold_uncertainty_score":0.002346933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009105172843581361,"score_gpt":0.2661010177468041,"score_spread":0.2569958449032227,"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."}}