{"id":"W152184551","doi":"10.1007/978-1-4614-4605-7_6","title":"Graphene-Based Composite Anodes for Lithium-Ion Batteries","year":2012,"lang":"en","type":"book-chapter","venue":"Nanostructure science and technology","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atomic Energy (Canada); National Research Council Canada","funders":"","keywords":"Graphene; Anode; Materials science; Lithium (medication); Composite number; Graphite; Nanotechnology; Tin; Volume expansion; Silicon; Composite material; Metallurgy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001525584,0.0003614648,0.0003852673,0.0006993866,0.0002325965,0.00006264025,0.0004428092,0.0005449399,0.00008554973],"category_scores_gemma":[0.00002723337,0.0003269305,0.00002703218,0.0001588281,0.001538786,0.0002137256,0.0001157517,0.0002153587,0.000008277476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007844759,"about_ca_system_score_gemma":0.00004729187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.820726e-7,"about_ca_topic_score_gemma":0.000001807018,"domain_scores_codex":[0.9986207,0.000002635091,0.000262422,0.0004091627,0.0002476128,0.0004574863],"domain_scores_gemma":[0.9992134,0.00002971708,0.0001007534,0.0004228372,0.0001720385,0.00006125651],"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":[0.00001750982,0.000003539788,0.0001302174,0.0002855331,0.00002841052,0.000003236443,0.00003796315,0.00002873041,0.8740966,0.08793861,0.001065206,0.03636447],"study_design_scores_gemma":[0.0003421427,0.0001125726,0.0000642762,0.0001503129,0.00005767162,0.00004103105,0.000009389266,0.00003404882,0.6076525,0.107857,0.283066,0.0006130424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5438282,0.0563996,0.04448787,0.01320474,0.06327341,0.01623397,0.006191197,0.0180186,0.2383623],"genre_scores_gemma":[0.9630386,0.000383552,0.0256396,0.0007858768,0.0005149142,0.0001555776,0.0001252065,0.0002378601,0.009118788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4192103,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009090968202457389,"score_gpt":0.2252837532251308,"score_spread":0.2161927850226734,"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."}}