{"id":"W2331752657","doi":"10.1021/nn505480w","title":"Vapor-Phase Atomic-Controllable Growth of Amorphous Li<sub>2</sub>S for High-Performance Lithium–Sulfur Batteries","year":2014,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Atomic layer deposition; Faraday efficiency; Amorphous solid; Materials science; Lithium (medication); Anode; Nanotechnology; Energy storage; Chemical vapor deposition; Nanoscopic scale; Nanoarchitectures for lithium-ion batteries; Phase (matter); Atomic units; Cathode; Thin film; Chemical engineering; Chemistry; Electrode; Power (physics); Physical chemistry; Physics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001435306,0.0002418489,0.0004411509,0.0001081324,0.00007411979,0.00003416468,0.0002667276,0.0001455791,0.00001282982],"category_scores_gemma":[0.00007785366,0.0002221426,0.00004663028,0.0001410965,0.00008824693,0.0002761178,0.00006302578,0.00008028385,0.00002649471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004069198,"about_ca_system_score_gemma":0.00001318751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000601792,"about_ca_topic_score_gemma":0.000002325483,"domain_scores_codex":[0.9988998,0.00001131943,0.0003778393,0.0002187584,0.0001052112,0.0003870899],"domain_scores_gemma":[0.9993009,0.00009808416,0.0001052139,0.0003772759,0.000081362,0.00003719277],"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":[0.0000884147,0.00003026184,0.0001182206,0.0003146892,0.00003899095,0.000001362075,0.0000311501,0.000687779,0.9879807,0.001165685,0.001097123,0.008445646],"study_design_scores_gemma":[0.001685463,0.0002678086,0.0002044154,0.00005505557,0.00002564624,0.000005246355,0.00001087391,0.0009385039,0.9917923,0.002667867,0.002086849,0.0002599619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887747,0.0001993087,0.009254095,0.00009417929,0.0005995276,0.0002824345,0.00008125161,0.0006107782,0.0001037328],"genre_scores_gemma":[0.9976786,0.0002260779,0.001627677,0.00009080652,0.0001267505,0.0001252392,0.00002527019,0.00006495505,0.00003460457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008903926,"threshold_uncertainty_score":0.9058712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005643561492545241,"score_gpt":0.1937381841026538,"score_spread":0.1880946226101086,"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."}}