{"id":"W2884000166","doi":"10.1016/j.jpowsour.2018.07.082","title":"Conformal formation of Carbon-TiOX matrix encapsulating silicon for high-performance lithium-ion battery anode","year":2018,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Waterloo Institute for Nanotechnology, University of Waterloo; Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Silicon; Materials science; Faraday efficiency; Anode; Electrolyte; Nanotechnology; Nanocrystalline silicon; Crystalline silicon; Chemical engineering; Electrode; Amorphous silicon; Optoelectronics; 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":[0.00005526745,0.0001858509,0.00008534658,0.0001281666,0.0001168213,0.0002500058,0.000182065,0.000211151,0.0009406503],"category_scores_gemma":[0.0001118555,0.0001106521,0.0001159488,0.0001190856,0.0001057299,0.0001765309,0.0001910968,0.0001954867,0.0002088502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001938675,"about_ca_system_score_gemma":0.0001235023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003100676,"about_ca_topic_score_gemma":0.00120008,"domain_scores_codex":[0.999956,0.000002333343,0.000002106641,0.00001032979,0.00001720894,0.00001202452],"domain_scores_gemma":[0.9999621,0.000005400296,0.000009880692,0.000006150345,0.000008057675,0.000008346898],"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":[0.0000291998,0.000012429,0.0001326079,0.00005430082,0.000004803422,0.00007117989,0.00002529605,0.00034458,0.9967356,0.0003218944,0.0001293679,0.002138725],"study_design_scores_gemma":[0.000008402278,0.00009050692,0.001194231,0.000003489967,0.000006596218,0.00005918874,0.00002742167,0.002167824,0.9948579,0.00005028968,0.001529358,0.000004747255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940774,0.000425368,0.001975694,0.00003607241,0.00004728962,0.00001572499,0.0001091235,0.0000929522,0.003220311],"genre_scores_gemma":[0.9975094,0.0001890418,0.001013018,0.00001218928,0.000005223106,0.000007070968,0.00006563071,0.00001289691,0.001185497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009406503,"threshold_uncertainty_score":0.003146768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00957562143634829,"score_gpt":0.2418301269330763,"score_spread":0.232254505496728,"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."}}