{"id":"W2811142658","doi":"10.1039/c8ee01377b","title":"Stringed “tube on cube” nanohybrids as compact cathode matrix for high-loading and lean-electrolyte lithium–sulfur batteries","year":2018,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; McMaster University","keywords":"Electrolyte; Sulfur; Tube (container); Materials science; Cathode; Cube (algebra); Energy density; Lithium (medication); High energy; Chemical engineering; Composite material; Chemistry; Metallurgy; Engineering physics; Electrode; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001414068,0.0002185842,0.0001879586,0.0001003189,0.0003571696,0.00009118106,0.0002914176,0.0000538252,0.00005928817],"category_scores_gemma":[0.00001736319,0.000198513,0.00002270611,0.0001199505,0.0007745586,0.0003285314,0.0001049594,0.00007208499,0.00002065371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001706107,"about_ca_system_score_gemma":0.000008505884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002741812,"about_ca_topic_score_gemma":0.000005893164,"domain_scores_codex":[0.9987416,0.000007553313,0.0001718897,0.0003851974,0.0002040758,0.0004896703],"domain_scores_gemma":[0.9995828,0.00004329994,0.0000416854,0.0002493403,0.000003983007,0.00007892842],"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":[0.00002177809,0.00001386988,0.0001296885,0.000006701345,0.000006301418,0.000002621566,0.00005847453,0.0009332795,0.9912268,0.00261085,0.00006681636,0.004922832],"study_design_scores_gemma":[0.0002209821,0.0003676381,0.002111886,0.00002023518,0.000006525252,0.00001753402,0.00007552939,0.0005988042,0.990649,0.001244177,0.004439388,0.000248251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958586,0.0001263035,0.002813993,0.00009307832,0.000313993,0.00009121356,0.00003127675,0.0002532547,0.00041826],"genre_scores_gemma":[0.9975657,0.00015373,0.001766981,0.00009951372,0.0001116085,0.00002045343,0.000007251953,0.00002924139,0.0002454761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004674582,"threshold_uncertainty_score":0.8095126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006253587077790591,"score_gpt":0.2180503152155639,"score_spread":0.2117967281377733,"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."}}