{"id":"W2107193327","doi":"10.1039/c3ta10883j","title":"A high capacity silicon–graphite composite as anode for lithium-ion batteries using low content amorphous silicon and compatible binders","year":2013,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); National Research Council Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Silicon; Materials science; Graphite; Anode; Nanocrystalline silicon; Ball mill; Amorphous solid; Lithium (medication); Lithium-ion battery; Chemical engineering; Composite material; Nanocrystalline material; X-ray photoelectron spectroscopy; Composite number; Amorphous silicon; Crystalline silicon; Metallurgy; Nanotechnology; Battery (electricity); Crystallography; Electrode; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002652704,0.0003197147,0.0006912153,0.00006935144,0.00009407317,0.0002407872,0.0001908993,0.0001389106,0.0004245073],"category_scores_gemma":[0.00004657034,0.00029732,0.00006514488,0.00005652536,0.0001392019,0.0005103576,0.00005388598,0.0001123182,0.000006767624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001140965,"about_ca_system_score_gemma":0.00001845567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008176024,"about_ca_topic_score_gemma":5.209366e-7,"domain_scores_codex":[0.9983245,0.00004221841,0.0008922948,0.0001870619,0.0002093239,0.0003445959],"domain_scores_gemma":[0.9989113,0.00007666423,0.000473191,0.0002060267,0.0001909474,0.0001419388],"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":[0.0001386541,0.00004039084,0.0002568703,0.0008940498,0.000113626,0.0000081022,0.0001452056,0.001852932,0.9962096,0.000003536516,0.000292383,0.00004461729],"study_design_scores_gemma":[0.001290942,0.00006841229,0.0008368211,0.000366773,0.00006246797,0.0002959514,0.000127716,0.0001438935,0.9960297,0.0003839938,0.00009877444,0.0002945833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974419,0.00009622962,0.0007773915,0.0001100121,0.001022476,0.0003416832,0.0001395666,0.00005729634,0.00001338038],"genre_scores_gemma":[0.996087,0.00005003696,0.00322064,0.0001401404,0.0003710474,0.00002653267,0.00001877526,0.00005790813,0.00002792985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002443249,"threshold_uncertainty_score":0.9999479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488713028476442,"score_gpt":0.2299027935162797,"score_spread":0.2050156632315152,"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."}}