{"id":"W2773287160","doi":"10.1039/c7ta08746b","title":"Litchi-like porous Fe/N/C spheres with atomically dispersed FeN<sub>x</sub> promoted by sulfur as highly efficient oxygen electrocatalysts for Zn–air batteries","year":2017,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Electrocatalysts for Energy Conversion","field":"Energy","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Saskatoon Medical Imaging; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Institut national de la recherche scientifique","keywords":"Sulfur; Porosity; Materials science; SPHERES; Oxygen; Chemical engineering; Inorganic chemistry; Nanotechnology; Chemistry; Metallurgy; Composite material; Physics; Organic chemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005218615,0.0005481918,0.0009070284,0.00004728239,0.0004588055,0.0003752865,0.00109942,0.0003090567,0.0001242511],"category_scores_gemma":[0.0002922505,0.0004394157,0.0002381713,0.00009170685,0.0002108619,0.0003697262,0.0001556853,0.0002543027,0.00002754476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987678,"about_ca_system_score_gemma":0.0004267295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001814414,"about_ca_topic_score_gemma":0.00006547813,"domain_scores_codex":[0.9969448,0.00006828098,0.0009562321,0.0005211905,0.0007399126,0.0007695823],"domain_scores_gemma":[0.9963951,0.00007682861,0.001793061,0.0008600817,0.0005540348,0.0003208711],"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":[0.003317864,0.0002442067,0.00002668436,0.0002883901,0.0004315154,0.0001271787,0.00009993792,0.0001057864,0.992165,0.00003365153,0.002836285,0.0003234968],"study_design_scores_gemma":[0.003043344,0.0004979445,0.000142244,0.0002490702,0.0002452917,0.0007079519,0.00009252615,0.00002373745,0.9913344,0.0001323345,0.00300527,0.0005259278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978623,0.0001370939,0.0001092899,0.0008779512,0.0003317017,0.0002442625,0.00003502996,0.0000765958,0.0003257878],"genre_scores_gemma":[0.9981174,0.00004144395,0.0002937766,0.0001219374,0.0005554895,0.00003325213,0.0001779244,0.000121389,0.0005374224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009437349,"threshold_uncertainty_score":0.9998057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004734755244541101,"score_gpt":0.2057013381611933,"score_spread":0.2009665829166522,"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."}}