{"id":"W3036707806","doi":"10.3390/nano10061220","title":"Cinnamon-Derived Hierarchically Porous Carbon as an Effective Lithium Polysulfide Reservoir in Lithium–Sulfur Batteries","year":2020,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Polysulfide; Lithium (medication); Sulfur; Carbon fibers; Materials science; Porosity; Lithium–sulfur battery; Inorganic chemistry; Chemical engineering; Chemistry; Electrochemistry; Metallurgy; Composite material; Electrolyte; Electrode; Engineering; Composite number; Psychology","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":[0.0001375351,0.0004323122,0.0001894062,0.0004013366,0.0001766149,0.0003555557,0.0004865637,0.0004075797,0.0007077283],"category_scores_gemma":[0.0001771624,0.0001765934,0.0002034475,0.0004293137,0.0003097039,0.0005249868,0.0003321293,0.0003295543,0.0002360426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005293632,"about_ca_system_score_gemma":0.0003197845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923153,"about_ca_topic_score_gemma":0.004990969,"domain_scores_codex":[0.9998906,0.00001033542,0.000009305202,0.00002355962,0.00004014673,0.00002607852],"domain_scores_gemma":[0.9999368,0.00001121247,0.0000118179,0.000007942764,0.00001330218,0.00001887633],"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":[0.0000940032,0.00005662448,0.0001770164,0.0002559267,0.00001600901,0.0002751916,0.00005355028,0.002440959,0.9850401,0.00166082,0.0002550887,0.009674765],"study_design_scores_gemma":[0.00001723768,0.0002005084,0.0006557075,0.00001108776,0.00002455873,0.00007306823,0.00002273452,0.008784174,0.9865789,0.0001758892,0.003432863,0.00002323307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825064,0.002875406,0.008567962,0.0002139368,0.00009235392,0.00007522024,0.000222545,0.00042647,0.005019702],"genre_scores_gemma":[0.9935684,0.0008764985,0.004057095,0.00002767572,0.00001107601,0.00002283353,0.00008994187,0.00002329152,0.001323182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001923153,"threshold_uncertainty_score":0.003840804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043936503380889,"score_gpt":0.229048176490571,"score_spread":0.2186088114567621,"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."}}