{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001336274,0.0002185865,0.0003195467,0.00009280651,0.00008318444,0.00003251946,0.0001123909,0.00008113326,0.0005598618],"category_scores_gemma":[0.00003288536,0.0002517107,0.00005078214,0.0002706695,0.00002048115,0.0002955919,0.00003334094,0.0002320776,0.00008623461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729935,"about_ca_system_score_gemma":0.00003751249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003729532,"about_ca_topic_score_gemma":0.00005958694,"domain_scores_codex":[0.9984791,0.00008279634,0.0003855086,0.0003149797,0.00009912069,0.0006384855],"domain_scores_gemma":[0.9995654,0.00005087173,0.00004851442,0.0002430886,0.00003918914,0.00005293847],"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":[0.00004717669,0.00002011153,0.00001747997,0.00005256051,0.00001197194,0.00001903742,0.00003142198,0.07454654,0.9193942,0.0001758923,0.00003837419,0.005645266],"study_design_scores_gemma":[0.001855793,0.0001391348,0.0006610695,0.00008588489,0.00002693913,0.00009249438,0.00003685078,0.001730938,0.9885824,0.003341902,0.003051787,0.0003948437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946429,0.001188871,0.04972719,0.00009265004,0.00179393,0.0002625858,0.00001158169,0.0002957934,0.0001984136],"genre_scores_gemma":[0.9987572,0.000236088,0.0002111437,0.0001577817,0.0001363547,0.00004468148,0.00003173884,0.00004079339,0.0003842143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0728156,"threshold_uncertainty_score":0.9999935,"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."}}