{"id":"W2083870471","doi":"10.1039/c4ta06249c","title":"Building sponge-like robust architectures of CNT–graphene–Si composites with enhanced rate and cycling performance for lithium-ion batteries","year":2014,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"","keywords":"Graphene; Materials science; Anode; Lithium (medication); Composite material; Cycling; Ion; Nanotechnology; Electrode; 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":[0.00009842783,0.0004280772,0.0001624745,0.0002804368,0.0001300634,0.0002696174,0.0002638288,0.0002890374,0.001042612],"category_scores_gemma":[0.0001761497,0.0002474326,0.000255819,0.0001836611,0.0002154388,0.0002821021,0.000226532,0.0003192949,0.000452916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587403,"about_ca_system_score_gemma":0.0001686727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002876433,"about_ca_topic_score_gemma":0.001531638,"domain_scores_codex":[0.9999368,0.00000783512,0.000007043861,0.00001415635,0.00001964537,0.0000145139],"domain_scores_gemma":[0.9998956,0.00001601086,0.00003026109,0.00001153661,0.00001872389,0.00002792143],"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":[0.00005424164,0.0000262335,0.0001132541,0.00007464311,0.000008522172,0.0001066387,0.00002331898,0.001150266,0.9958449,0.0003648267,0.0001549093,0.002078221],"study_design_scores_gemma":[0.00003475157,0.0002867185,0.00151983,0.000007431659,0.00002494771,0.0001719026,0.00002705529,0.01632608,0.9789106,0.000129624,0.002529492,0.00003148148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833356,0.0007367083,0.00946685,0.0001147322,0.0001049477,0.00005437147,0.0002257124,0.0004034282,0.00555766],"genre_scores_gemma":[0.9925213,0.0003455709,0.005791903,0.00003480384,0.00001512498,0.00002623161,0.0001599408,0.00003544303,0.00106955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042612,"threshold_uncertainty_score":0.003487885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007538102109497702,"score_gpt":0.2161752274740504,"score_spread":0.2086371253645527,"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."}}