{"id":"W2150058410","doi":"10.1016/j.apsusc.2015.01.099","title":"Nanostructued core–shell Sn nanowires @ CNTs with controllable thickness of CNT shells for lithium ion battery","year":2015,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Western University; National Science and Technology Entrepreneurship Development Board; Foundation for Ichthyosis and Related Skin Types","keywords":"Materials science; Carbon nanotube; High-resolution transmission electron microscopy; Scanning electron microscope; Microstructure; Nanowire; Amorphous solid; Transmission electron microscopy; Chemical vapor deposition; Anode; Coaxial; Nanotechnology; Lithium (medication); Composite material; Chemical engineering; Lithium-ion battery; Electrode; Battery (electricity); Crystallography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009402199,0.0002833401,0.0001359992,0.0001310033,0.0001510383,0.000198599,0.0001793499,0.0002072577,0.0005179183],"category_scores_gemma":[0.0001277056,0.0002045707,0.000167234,0.0001229177,0.0001266294,0.0002847681,0.0001828873,0.0002309698,0.0002391071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616869,"about_ca_system_score_gemma":0.0001442013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005322131,"about_ca_topic_score_gemma":0.002417436,"domain_scores_codex":[0.9999428,0.000004948278,0.000005389757,0.0000153753,0.00002161711,0.000009896401],"domain_scores_gemma":[0.9999286,0.000008729964,0.00001892953,0.000007678567,0.00002345193,0.00001251264],"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":[0.00002166301,0.000008887877,0.00005765205,0.00002538923,0.00000275046,0.00002254924,0.00001570885,0.0002364582,0.9982344,0.0001272179,0.00005608335,0.00119116],"study_design_scores_gemma":[0.000006610766,0.00005238878,0.0005595111,0.000002274884,0.000007523088,0.00002030258,0.00001153423,0.004332543,0.9942377,0.00003266005,0.0007307628,0.000006155615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898099,0.0005648079,0.006644631,0.00008298263,0.00007028789,0.00001579043,0.00009213274,0.0001613286,0.002558095],"genre_scores_gemma":[0.9947549,0.0002297652,0.003496655,0.00002038438,0.000009297578,0.0000125241,0.00004882754,0.00002759201,0.001400147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005322131,"threshold_uncertainty_score":0.001898706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204726770469669,"score_gpt":0.2457740815463902,"score_spread":0.2237268138416935,"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."}}