{"id":"W2972455068","doi":"10.1016/j.matt.2019.06.020","title":"Natural SEI-Inspired Dual-Protective Layers via Atomic/Molecular Layer Deposition for Long-Life Metallic Lithium Anode","year":2019,"lang":"en","type":"article","venue":"Matter","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":167,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation; Canada Foundation for Innovation; Western University; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs","keywords":"Anode; Atomic layer deposition; Materials science; Layer (electronics); Electrochemistry; Electrolyte; Deposition (geology); Nanotechnology; Lithium metal; Lithium (medication); Chemical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005205036,0.0002823443,0.0001485949,0.0001801042,0.0001322283,0.0002999499,0.0003051164,0.0002413092,0.0007255369],"category_scores_gemma":[0.0000912328,0.0001752456,0.000190268,0.0001433928,0.0001139052,0.0003252349,0.0003439308,0.0003154528,0.0003715591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934462,"about_ca_system_score_gemma":0.0001376406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003428104,"about_ca_topic_score_gemma":0.001328745,"domain_scores_codex":[0.9999702,0.000001759723,0.000001877236,0.000006618357,0.00001055461,0.000008910077],"domain_scores_gemma":[0.9999729,0.000002727657,0.000007311071,0.000004983768,0.000006790171,0.000005340891],"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":[0.00004535211,0.00001414906,0.0001712109,0.000161237,0.00001429567,0.00009494519,0.00004305066,0.0004317557,0.9924981,0.001283293,0.0003523336,0.004890208],"study_design_scores_gemma":[0.000007770518,0.00007100157,0.0005176439,0.00001019354,0.000020987,0.00009226034,0.00003357814,0.005181767,0.98936,0.0001835476,0.004511792,0.000009543263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733332,0.003031255,0.01487422,0.000179596,0.0001712846,0.0000224656,0.0002662438,0.0005209332,0.007600779],"genre_scores_gemma":[0.9919223,0.0008484881,0.004854572,0.00003104147,0.00001128091,0.00001250004,0.00008566345,0.00003029008,0.00220403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007255369,"threshold_uncertainty_score":0.002427161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00641664126801503,"score_gpt":0.2077424759353485,"score_spread":0.2013258346673334,"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."}}