{"id":"W2109559089","doi":"10.1109/ccece.2008.4564570","title":"A nanoelectronic memory array design with improved performance","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Multiplexer; Transmission gate; Memory cell; Nanodevice; Computer science; Electronic engineering; Inverter; CMOS; Logic gate; Electronic circuit; Non-volatile memory; Voltage; Electrical engineering; Multiplexing; Transistor; Computer hardware; Engineering; Materials science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00008463472,0.0004126725,0.0003721307,0.0002980511,0.0001603034,0.000203195,0.00027317,0.000144875,0.00004945284],"category_scores_gemma":[0.000007973231,0.0003670555,0.00002989861,0.0003357216,0.00005678102,0.0003056745,0.00001423411,0.0003876547,0.00001503703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001583893,"about_ca_system_score_gemma":0.0003395052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004522114,"about_ca_topic_score_gemma":0.0001636575,"domain_scores_codex":[0.998312,0.000005437412,0.0002354425,0.0004196988,0.0001676337,0.0008597616],"domain_scores_gemma":[0.9991435,0.00002881385,0.00003652383,0.0001181875,0.0001563504,0.0005166614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000350791,0.0001422858,0.004212236,0.001329172,0.0006790788,0.0001823437,0.005897458,0.01731896,0.8639233,0.02240971,0.002397657,0.08115698],"study_design_scores_gemma":[0.0004602939,0.0007417417,0.002280899,0.0001601798,0.00001812937,0.0002666268,0.00001897787,0.9500796,0.044581,0.00004660486,0.000590924,0.0007550412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729547,0.0002508317,0.02414014,0.00008370916,0.0001941383,0.0003454604,0.000003853878,0.0004732867,0.001553864],"genre_scores_gemma":[0.9969274,0.0003559633,0.002257626,0.0001214595,0.0001658466,0.00006808947,0.000003685828,0.00005147057,0.00004839968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9327606,"threshold_uncertainty_score":0.9998782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015039198673759,"score_gpt":0.1600598762670871,"score_spread":0.1450206775933281,"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."}}