{"id":"W2299854564","doi":"10.1149/ma2016-03/2/786","title":"Materials for High Energy Density and Long-Life Lithium-Sulfur Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Mars Exploration Program; Anode; Energy storage; Electrolyte; Cathode; Battery (electricity); Lithium (medication); High energy; Environmental science; Astrobiology; Materials science; Nanotechnology; Exploration of Mars; Engineering physics; Engineering; Chemistry; Electrical engineering; Physics; Electrode","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":[0.0001724444,0.0004019682,0.0002491555,0.0007192101,0.0002865832,0.0005923107,0.0004558238,0.001090986,0.005839349],"category_scores_gemma":[0.000365124,0.0002396133,0.0003237231,0.0006043406,0.0002416137,0.001101469,0.0004672483,0.0008511706,0.002671432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006036064,"about_ca_system_score_gemma":0.0002730221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002762648,"about_ca_topic_score_gemma":0.0009464939,"domain_scores_codex":[0.9998422,0.000009597607,0.00001401896,0.00002261686,0.00008770803,0.00002385684],"domain_scores_gemma":[0.9999189,0.00001457133,0.00001725499,0.000007018597,0.00002727449,0.00001493169],"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":[0.0001714654,0.0001809951,0.0006066211,0.004937985,0.00004619273,0.0007545253,0.0001890973,0.004077369,0.8115913,0.06200362,0.01963655,0.0958043],"study_design_scores_gemma":[0.00007579375,0.0005330466,0.001680063,0.0003660785,0.00004146055,0.0009573154,0.0002393732,0.01018958,0.6868312,0.01192611,0.2870756,0.00008435727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4924888,0.1678142,0.1473201,0.005245606,0.005340745,0.0006659633,0.005711585,0.005145947,0.1702671],"genre_scores_gemma":[0.8948414,0.03872411,0.03804405,0.0009024261,0.0004975853,0.0004158841,0.002572803,0.0002676245,0.02373407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005839349,"threshold_uncertainty_score":0.01953459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052850031587791,"score_gpt":0.2069805645995021,"score_spread":0.1964520642836242,"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."}}