{"id":"W1979979239","doi":"10.1109/isscc.2010.5433943","title":"Negative-resistance read and write schemes for STT-MRAM in 0.13µm CMOS","year":2010,"lang":"en","type":"article","venue":"","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Magnetoresistive random-access memory; CMOS; Power (physics); Spin-transfer torque; Electrical engineering; Computer science; Materials science; Random access memory; Optoelectronics; Electronic engineering; Physics; Computer hardware; Engineering; Magnetization; 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":[0.0001360761,0.0001760965,0.0002117202,0.00009415407,0.0000509783,0.00004016407,0.0001089652,0.0001035119,0.000108998],"category_scores_gemma":[0.0001608408,0.0001617526,0.00003485721,0.0002436216,0.00007585985,0.0002432665,0.00001138372,0.0002611729,0.0000150895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367522,"about_ca_system_score_gemma":0.00001204031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001812013,"about_ca_topic_score_gemma":0.004036998,"domain_scores_codex":[0.9991742,0.00001007858,0.0001972202,0.0002214338,0.0000925826,0.000304448],"domain_scores_gemma":[0.999407,0.0002648307,0.00002607752,0.0001691469,0.00006232997,0.00007059913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005335942,0.0002525499,0.02307367,0.002012613,0.0003580429,0.00001791187,0.00624576,0.000247889,0.6654662,0.1480848,0.04727162,0.1064352],"study_design_scores_gemma":[0.003941981,0.0001357197,0.0285202,0.0002689619,0.00004365866,0.000009833319,0.0008628358,0.02592329,0.1484516,0.02110503,0.769055,0.001681848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645112,0.00103766,0.0104487,0.0002225553,0.0002211014,0.0004195541,0.00002435085,0.0002349206,0.02288],"genre_scores_gemma":[0.9748452,0.0001437834,0.02112564,0.0001049406,0.00008515004,0.00009919398,0.000006597711,0.00003202891,0.003557523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7217834,"threshold_uncertainty_score":0.6596079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128604372741698,"score_gpt":0.2342326322444192,"score_spread":0.2229465885170022,"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."}}