{"id":"W3199473075","doi":"10.1016/j.matt.2021.09.006","title":"Li-ionic control of magnetism through spin capacitance and conversion","year":2021,"lang":"en","type":"article","venue":"Matter","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Defense Basic Scientific Research Program of China; Canada First Research Excellence Fund; National Key Research and Development Program of China Stem Cell and Translational Research; Natural Science Foundation of Shandong Province; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Magnetism; Spintronics; Materials science; Ferromagnetism; Capacitance; Supercapacitor; Ionic bonding; Condensed matter physics; Ion; Optoelectronics; Nanotechnology; Chemistry; Electrode; Physics; Physical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001212475,0.0000848224,0.0001947497,0.00001352271,0.00004542184,0.0000400058,0.00006725192,0.000078161,0.007547979],"category_scores_gemma":[0.00001160136,0.00006931384,0.00002714786,0.00003706933,0.00009493449,0.00009782291,0.00003446876,0.00004491713,0.0005163514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008932238,"about_ca_system_score_gemma":0.00001780068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006753096,"about_ca_topic_score_gemma":0.000003524385,"domain_scores_codex":[0.9992818,0.00005986814,0.0002035633,0.0001957568,0.0001081098,0.0001508723],"domain_scores_gemma":[0.9996206,0.00002981387,0.00007932915,0.0001842022,0.00005470369,0.00003139614],"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":[0.00001501546,0.00001975012,0.0007356392,0.00009162694,0.000005055068,0.00001550375,0.0001956588,0.000007462882,0.99625,0.0004541297,0.002180138,0.00003006915],"study_design_scores_gemma":[0.0009940049,0.00003561216,0.00728179,0.00008975685,0.00002514282,0.00003710126,0.00006271855,0.0000889452,0.9849735,0.001027151,0.005248376,0.0001358613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946991,0.0006448059,0.0006867743,0.001393035,0.000673957,0.00009247796,0.00003922473,0.00001545476,0.001755227],"genre_scores_gemma":[0.9966797,0.00009430846,0.0008439557,0.001099701,0.00004014251,0.000004539281,0.000003764634,0.000009703143,0.001224222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01127641,"threshold_uncertainty_score":0.9933593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00837567686709614,"score_gpt":0.2262914874160898,"score_spread":0.2179158105489936,"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."}}