{"id":"W4408175413","doi":"10.18280/rcma.350115","title":"Lithium-Ion Battery Anodes Based on Graphite: Performance Enhancement Study Using Carbon Black, Carbon Nanotubes, and Other Additives","year":2025,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carbon black; Carbon nanotube; Graphite; Anode; Materials science; Battery (electricity); Lithium (medication); Carbon fibers; Lithium-ion battery; Chemical engineering; Ion; Nanotechnology; Composite material; Chemistry; Electrode; Composite number; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002108702,0.0003175624,0.0002225502,0.0003917405,0.0003264423,0.0003163573,0.0002977353,0.0004094197,0.0007773608],"category_scores_gemma":[0.0003204064,0.0001494876,0.0001935683,0.0003056078,0.000164615,0.0003514399,0.0001653514,0.000239448,0.0002058429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001565581,"about_ca_system_score_gemma":0.0001568067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088688,"about_ca_topic_score_gemma":0.001944692,"domain_scores_codex":[0.9998406,0.00003020802,0.00001134708,0.0000245712,0.00006054469,0.00003269139],"domain_scores_gemma":[0.999854,0.0000449597,0.00001813132,0.00001044955,0.00005665316,0.00001586256],"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":[0.0004302023,0.00006473869,0.0002780663,0.00009947756,0.000007550304,0.000104631,0.00005875578,0.0001608008,0.9953604,0.0001533336,0.00006317163,0.003218819],"study_design_scores_gemma":[0.000007951047,0.0003000092,0.001400099,0.000009311935,0.00001769108,0.00005220422,0.00003681389,0.00104831,0.9962702,0.00002562237,0.0008259762,0.000005753584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966606,0.001312914,0.0005400182,0.00003078342,0.00001838112,0.00001077876,0.00006542944,0.00002046562,0.001340647],"genre_scores_gemma":[0.9963171,0.001019739,0.0010412,0.00001267018,0.000007974128,0.000007563199,0.00008661379,0.000009110284,0.001497886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001088688,"threshold_uncertainty_score":0.002600551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270871380880775,"score_gpt":0.2714725982144892,"score_spread":0.2387638844056815,"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."}}