{"id":"W2386881000","doi":"10.1149/ma2016-03/2/1160","title":"Molecular Scale Coating and Nanoscale Carbon Cage Confined Sulfur Cathodes Applied in Lithium Sulfur Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cathode; Coating; Sulfur; Materials science; Carbon fibers; Lithium (medication); Nanotechnology; Lithium–sulfur battery; Chemical engineering; Electrode; Electrochemistry; Chemistry; Composite material; Metallurgy; Composite number","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007079714,0.0003526554,0.000174321,0.0002137899,0.0001232606,0.0002557413,0.0003246964,0.0004670568,0.0007875887],"category_scores_gemma":[0.0001221701,0.0001544544,0.0001905161,0.0002206463,0.0001982394,0.0002438489,0.0002169694,0.0002538399,0.0003293913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300299,"about_ca_system_score_gemma":0.00008083009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004288214,"about_ca_topic_score_gemma":0.0006168484,"domain_scores_codex":[0.9999106,0.000005355645,0.000006916411,0.00002299559,0.00004066012,0.00001353523],"domain_scores_gemma":[0.9999535,0.000005956522,0.00001730135,0.000006202516,0.000009584298,0.000007484431],"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":[0.00001799014,0.00001524793,0.00008295244,0.0001019099,0.000004732434,0.00007613465,0.00001620969,0.0001867755,0.996612,0.0002733626,0.0001163041,0.002496341],"study_design_scores_gemma":[0.000004599046,0.0001290795,0.0008578702,0.000005507483,0.00000898648,0.00009697451,0.00001247036,0.001739406,0.9945834,0.00003222694,0.002522168,0.000007231618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743318,0.009301524,0.008931092,0.0002246199,0.0002288353,0.00006393663,0.0003110137,0.0004415399,0.006165637],"genre_scores_gemma":[0.9905214,0.002338486,0.005341546,0.00005728948,0.00003073558,0.00002468649,0.0001165091,0.00002153225,0.001547805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007875887,"threshold_uncertainty_score":0.002634764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007579814909549096,"score_gpt":0.2023281927184251,"score_spread":0.194748377808876,"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."}}