{"id":"W2108742390","doi":"10.1039/c4cc08949a","title":"In situ preparation of 3D graphene aerogels@hierarchical Fe<sub>3</sub>O<sub>4</sub> nanoclusters as high rate and long cycle anode materials for lithium ion batteries","year":2014,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Nanoclusters; Materials science; Lithium (medication); Anode; Fabrication; Ion; In situ; Nanotechnology; Chemical engineering; Electrode; Physical chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005498357,0.0002743304,0.0001412191,0.0001449145,0.0001366104,0.0001772217,0.0002134408,0.000228293,0.0006076061],"category_scores_gemma":[0.0000867057,0.0001311394,0.0002167225,0.000109331,0.000148846,0.0002353817,0.0001949451,0.0002525075,0.0001732717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002019349,"about_ca_system_score_gemma":0.0001060981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000701865,"about_ca_topic_score_gemma":0.002035565,"domain_scores_codex":[0.9999502,0.000003132236,0.000003531205,0.00001260059,0.00001862209,0.00001191179],"domain_scores_gemma":[0.9999655,0.000005352936,0.00001263305,0.000005646531,0.000005228956,0.000005559913],"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":[0.0000107768,0.000003998799,0.00005592927,0.00002171209,0.000003540311,0.00002706369,0.00001109775,0.0001816011,0.9987298,0.00006158988,0.00003889411,0.0008538706],"study_design_scores_gemma":[0.000003536153,0.00002020906,0.0005156823,0.000001275866,0.000006585105,0.00004151616,0.000008066608,0.0008787914,0.9976529,0.00003106384,0.00083674,0.000003692409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880773,0.0006591702,0.007684152,0.0001100954,0.00004227213,0.00003074987,0.0004128425,0.0002982099,0.00268524],"genre_scores_gemma":[0.9902153,0.0002402929,0.008201174,0.00002904336,0.000007501239,0.00001722488,0.0001725517,0.00003071554,0.001086128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000701865,"threshold_uncertainty_score":0.002032638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206204212927416,"score_gpt":0.2598347438652558,"score_spread":0.2477727017359816,"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."}}