{"id":"W2091220959","doi":"10.1002/adfm.201002100","title":"Chemical Coupling of Carbon Nanotubes and Silicon Nanoparticles for Improved Negative Electrode Performance in Lithium‐Ion Batteries","year":2011,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Materials science; Silicon; Carbon nanotube; Lithium (medication); Nanocomposite; Electrode; Nanoparticle; Nanotechnology; Chemical engineering; Covalent bond; Carbon fibers; Dispersion (optics); Composite material; Organic chemistry; Optoelectronics; Composite number; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001548182,0.0001923834,0.00032722,0.00006848566,0.00003135116,0.00001336621,0.00006824412,0.00007044076,0.00006132328],"category_scores_gemma":[0.00005292285,0.0001925664,0.00001484244,0.00006806789,0.00008397341,0.0003138522,0.00003549305,0.00004146104,0.000001262829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005660276,"about_ca_system_score_gemma":0.00001060885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007587109,"about_ca_topic_score_gemma":0.000002174497,"domain_scores_codex":[0.9989606,0.000009830121,0.0004561904,0.0002233597,0.00007556978,0.0002745135],"domain_scores_gemma":[0.9995997,0.00009382339,0.000089409,0.0001307295,0.00005611439,0.00003024981],"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":[0.0006720499,0.00002400268,0.0003204661,0.0002223214,0.00001908159,2.065727e-7,0.0001782244,0.001006193,0.9970886,0.0001775376,0.000002342847,0.0002890082],"study_design_scores_gemma":[0.000776138,0.0001306059,0.004644863,0.00008108778,0.00001258705,0.000003047724,0.00004993325,0.0004391657,0.9922466,0.001407926,0.00001598532,0.0001920357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983444,0.00008041689,0.0002294939,0.00001127899,0.0007776766,0.000394698,0.00004547974,0.00007850117,0.00003807652],"genre_scores_gemma":[0.9963709,0.00007324448,0.003106615,0.00002599677,0.00008683842,0.0002641858,0.00002355428,0.00003820461,0.00001050112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004841941,"threshold_uncertainty_score":0.7852631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444029912721299,"score_gpt":0.214102451040131,"score_spread":0.199662151912918,"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."}}