{"id":"W4404057227","doi":"10.1109/socc62300.2024.10737758","title":"A Low-voltage-Driven Single-ended Column based SRAM for Low-Power Micro-display","year":2024,"lang":"en","type":"article","venue":"","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Low voltage; Static random-access memory; Column (typography); Low-power electronics; Power (physics); Computer science; Voltage; Random access memory; Power demand; Electrical engineering; Computer hardware; Power consumption; Engineering; Physics; Computer network","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":[0.00005935621,0.0001798197,0.0001783521,0.0001312699,0.0001465876,0.0003415172,0.0008857496,0.0003224728,0.002164076],"category_scores_gemma":[0.0001582793,0.0001146912,0.0001892713,0.0001632404,0.00009181038,0.0004885973,0.0001417356,0.0002138023,0.0006142073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736885,"about_ca_system_score_gemma":0.0002516586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002670081,"about_ca_topic_score_gemma":0.0008251494,"domain_scores_codex":[0.9999309,0.000007108135,0.000005464668,0.00001778189,0.00002833666,0.00001038144],"domain_scores_gemma":[0.9998502,0.00002605788,0.00002621889,0.00001905297,0.00006775828,0.00001073404],"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":[0.0001633527,0.00007255972,0.001455584,0.000279666,0.00005053027,0.0005096725,0.0000708982,0.004623056,0.9269333,0.002499557,0.003240186,0.06010162],"study_design_scores_gemma":[0.00003776828,0.0011119,0.002639629,0.00003327827,0.00008501091,0.001724168,0.00004127976,0.06884369,0.9106278,0.0005251006,0.01429895,0.00003140378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6507886,0.0041726,0.3249463,0.0007437488,0.000550104,0.0001826294,0.0009382944,0.0046957,0.01298195],"genre_scores_gemma":[0.9360594,0.00057599,0.05678596,0.0002766599,0.0000621315,0.00006564566,0.0002279942,0.00007319699,0.005873111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002164076,"threshold_uncertainty_score":0.007239521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009393973420140329,"score_gpt":0.2128187196221906,"score_spread":0.2034247462020503,"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."}}