{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001337204,0.0001767826,0.0002462635,0.0002102215,0.0001128583,0.00004589505,0.001333865,0.00006345481,0.000005262292],"category_scores_gemma":[0.0001932079,0.0001500664,0.00003710354,0.0007008723,0.0001196014,0.0008526847,0.001106777,0.0001246528,0.0000131313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057091,"about_ca_system_score_gemma":0.0000679455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569601,"about_ca_topic_score_gemma":0.0002689613,"domain_scores_codex":[0.9986143,0.00003903826,0.0002894151,0.000484808,0.0003079745,0.0002644811],"domain_scores_gemma":[0.9985931,0.00009669339,0.0001657656,0.0009992357,0.0001024292,0.00004280662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000466994,0.0176913,0.09302785,0.0003464845,0.000807359,0.003571841,0.02863248,0.2936414,0.1096654,0.2964738,0.0006115117,0.1550636],"study_design_scores_gemma":[0.03210924,0.01772276,0.2557046,0.0006713514,0.0003226927,0.0003079548,0.07133623,0.3879934,0.164159,0.06265426,0.001434082,0.00558437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6193749,0.00009306454,0.3794897,0.00004363863,0.00008129994,0.000306608,0.000002828931,0.0004854396,0.0001225102],"genre_scores_gemma":[0.6415107,0.000001730284,0.3584184,0.00002976467,0.000007376774,0.000009323086,8.786225e-7,0.000006504805,0.00001525906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2338195,"threshold_uncertainty_score":0.6119531,"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."}}