{"id":"W3000740335","doi":"10.1002/adfm.201908754","title":"High‐Performance Manganese Hexacyanoferrate with Cubic Structure as Superior Cathode Material for Sodium‐Ion Batteries","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Hebei University of Technology; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Monoclinic crystal system; Materials science; Tetragonal crystal system; X-ray photoelectron spectroscopy; Cathode; Raman spectroscopy; Electrochemistry; Sodium-ion battery; Manganese; Phase (matter); Analytical Chemistry (journal); Chemical engineering; Crystallography; Crystal structure; Electrode; Faraday efficiency; Physical chemistry; Metallurgy; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001017235,0.000575889,0.0006551342,0.0000754221,0.0002234116,0.0001927746,0.0002600107,0.0001548323,0.003645837],"category_scores_gemma":[0.00003964351,0.0005074196,0.00003358969,0.0001453181,0.0001072395,0.001009489,0.00008233876,0.0001010376,0.0001569055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085054,"about_ca_system_score_gemma":0.00003909515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006168724,"about_ca_topic_score_gemma":0.000002195274,"domain_scores_codex":[0.9978302,0.00005185257,0.0006282083,0.0005666491,0.000324759,0.0005983348],"domain_scores_gemma":[0.9991853,0.00006099369,0.0001448767,0.000341993,0.0001225259,0.000144327],"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":[0.002349938,0.00001335633,0.00003626209,0.0005799683,0.00007140823,0.000008238296,0.0001350273,0.04088926,0.9549465,0.0002119092,0.0004515797,0.000306531],"study_design_scores_gemma":[0.001646476,0.0005135459,0.0009337115,0.00007644087,0.00005392128,0.00005035902,0.00006295032,0.00006503981,0.9918899,0.0005217302,0.003590351,0.0005955833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846209,0.00002949602,0.005678817,0.0003658142,0.00589249,0.0009308599,0.001834456,0.0006156223,0.00003150274],"genre_scores_gemma":[0.9860436,0.00003850746,0.009199189,0.0009886187,0.001634161,0.0004832292,0.001279362,0.0001982188,0.0001350808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04082422,"threshold_uncertainty_score":0.9997377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211125192556775,"score_gpt":0.214233204422626,"score_spread":0.2021219524970583,"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."}}