{"id":"W3187811670","doi":"10.1002/aelm.202100512","title":"Interfacial Control via Reversible Ionic Motion in Battery‐Like Magnetic Tunnel Junctions","year":2021,"lang":"en","type":"article","venue":"Advanced Electronic Materials","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Army Research Office; National Natural Science Foundation of China; Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; National Science Foundation","keywords":"Materials science; Magnetoresistance; Quantum tunnelling; Ion; Optoelectronics; Spintronics; Electric field; Tunnel magnetoresistance; Battery (electricity); Ionic bonding; Voltage; Polarization (electrochemistry); Magnetic field; Nanotechnology; Condensed matter physics; Electrical engineering; Chemistry; Physics; Ferromagnetism; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011272,0.0001002824,0.0001057864,0.00008767004,0.0001450777,0.0003092295,0.0003296888,0.0002080314,0.0005833788],"category_scores_gemma":[0.000148642,0.00008179326,0.00006115407,0.00006862518,0.0002335147,0.0002910696,0.000167087,0.0001823164,0.0001014551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274792,"about_ca_system_score_gemma":0.00008180372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001902012,"about_ca_topic_score_gemma":0.0002855237,"domain_scores_codex":[0.9999616,0.000005940799,0.000002690958,0.000008042118,0.00001174755,0.000009826869],"domain_scores_gemma":[0.9999527,0.00001061205,0.00001467222,0.000004760149,0.00000908043,0.00000818733],"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":[0.00005281156,0.00002294175,0.0001339418,0.00004355228,0.000004128513,0.00008114884,0.00003628979,0.0004664786,0.996075,0.001547685,0.00005293807,0.001483092],"study_design_scores_gemma":[0.000040912,0.0002073965,0.0006485379,0.000008254689,0.000008347412,0.0001060666,0.00006111202,0.01515582,0.9811829,0.0004531814,0.002113054,0.00001428223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968646,0.000177754,0.001782091,0.00003943388,0.00001989546,0.000005405201,0.00001833737,0.00003617748,0.001056159],"genre_scores_gemma":[0.998992,0.00006991315,0.0005750388,0.00001284878,0.00000285714,0.000003847893,0.00001002987,0.000004045612,0.0003293969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005833788,"threshold_uncertainty_score":0.001951575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004457666496270254,"score_gpt":0.1991251152664637,"score_spread":0.1946674487701935,"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."}}