{"id":"W2157302797","doi":"10.1109/ismvl.2004.1319965","title":"A study of multiple-valued magnetoresistive RAM (MRAM) using binary MTJ devices","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Magnetoresistive random-access memory; Tunnel magnetoresistance; Magnetoresistance; Materials science; Transistor; Binary number; Electrical engineering; Magnetic storage; Non-volatile memory; Random access memory; Optoelectronics; Computer science; Engineering; Computer hardware; Nanotechnology; Physics; Voltage; Mathematics; Magnetic field","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":[0.0001321019,0.0001672706,0.0003538384,0.0001587273,0.0002499405,0.0005455155,0.0004520221,0.0003177898,0.001177009],"category_scores_gemma":[0.0005163805,0.0001056155,0.0001339991,0.0002633681,0.0003447087,0.0009997293,0.0002130206,0.0001863357,0.0001915774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452207,"about_ca_system_score_gemma":0.00009566391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000211566,"about_ca_topic_score_gemma":0.0002730961,"domain_scores_codex":[0.9998819,0.00001912987,0.000005556109,0.0000222869,0.00005780081,0.00001324026],"domain_scores_gemma":[0.9998218,0.00008083716,0.00002432237,0.00002769893,0.00003380616,0.00001150945],"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":[0.0002599051,0.00008036388,0.0007004133,0.0005792836,0.00002491108,0.0007542349,0.0001866044,0.004987768,0.9536552,0.0196505,0.000489583,0.0186312],"study_design_scores_gemma":[0.00008720641,0.002305026,0.003765205,0.00007440815,0.00009152088,0.003342256,0.0003628993,0.1457832,0.8243777,0.004873005,0.0148847,0.00005297524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788812,0.002462684,0.008358823,0.0001891541,0.00006098477,0.00003191328,0.00006088418,0.00006461352,0.009889781],"genre_scores_gemma":[0.9893211,0.000774838,0.007942257,0.0000240722,0.00003376985,0.00001304992,0.00004046326,0.00001032267,0.001840206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177009,"threshold_uncertainty_score":0.003937483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04510890402314838,"score_gpt":0.3044531854962289,"score_spread":0.2593442814730805,"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."}}