{"id":"W4396902970","doi":"10.1002/aenm.202401729","title":"Selection Rules of Transition Metal Dopants for Prussian Blue Analogs Enabling Highly Reversible Sodium Storage","year":2024,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Fundamental Research Funds for the Central Universities; National Synchrotron Radiation Laboratory; National Natural Science Foundation of China; Salt Science Research Foundation","keywords":"Prussian blue; Materials science; Dopant; Transition metal; Selection (genetic algorithm); Inorganic chemistry; Metal; Sodium; Nanotechnology; Chemical engineering; Doping; Optoelectronics; Physical chemistry; Organic chemistry; Metallurgy; Computer science; Electrochemistry; Electrode; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001375445,0.0002503698,0.0001427857,0.0002041664,0.0001606774,0.0003103261,0.0003110936,0.0001731057,0.0008197891],"category_scores_gemma":[0.0002518844,0.0001398483,0.00007238896,0.0001487743,0.0001828459,0.0002390574,0.0002404103,0.0001726081,0.0002334123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002607174,"about_ca_system_score_gemma":0.0001783793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000378046,"about_ca_topic_score_gemma":0.000952141,"domain_scores_codex":[0.9999179,0.000011137,0.000007123237,0.00002473217,0.00002534469,0.00001371201],"domain_scores_gemma":[0.9999291,0.00001362668,0.00002079475,0.000009105042,0.00001755317,0.000009895803],"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":[0.0001411976,0.00002997558,0.0005107041,0.00007932703,0.00000774198,0.00007290574,0.00002832744,0.0009789423,0.9876743,0.002295051,0.0001819315,0.00799968],"study_design_scores_gemma":[0.0000177629,0.0001193997,0.0004006779,0.000007281305,0.000009610856,0.00005629168,0.00002301471,0.009237832,0.9868351,0.0002742348,0.003010589,0.000008296945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818065,0.000675355,0.01220314,0.0001165548,0.00002723498,0.00004326711,0.00009683045,0.0001552468,0.004875749],"genre_scores_gemma":[0.9948536,0.0001772862,0.004254964,0.00001544165,0.000002732769,0.00002247223,0.00003107133,0.0000244938,0.0006179849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008197891,"threshold_uncertainty_score":0.002742529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951917056658969,"score_gpt":0.2347164524708703,"score_spread":0.2251972819042806,"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."}}