{"id":"W2410520127","doi":"10.22215/etd/2015-10740","title":"Design of Reliable and Efficient Flip-Flops for Subthreshold Operation Using Multi-Threshold MOSFETs and Transistor Sizing Technique","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Flip-flop; CMOS; Electronic engineering; FLOPS; Subthreshold conduction; Transistor; Reliability (semiconductor); Sizing; Energy consumption; Transistor count; Power (physics); Computer science; Engineering; Electrical engineering; Voltage; Parallel computing; Physics","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":[0.00009227847,0.0002148001,0.0001841277,0.0001704426,0.0001272022,0.0002351798,0.0003685359,0.0001883989,0.0007498973],"category_scores_gemma":[0.0001491256,0.0001501063,0.0001647433,0.000133947,0.00009380107,0.0002655798,0.0001108843,0.0001558811,0.0002004392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047174,"about_ca_system_score_gemma":0.000306496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002039607,"about_ca_topic_score_gemma":0.0008584801,"domain_scores_codex":[0.9999646,0.000002959859,0.000002420443,0.00000848596,0.00001478344,0.000006741329],"domain_scores_gemma":[0.9999349,0.00001628284,0.00001656148,0.00000693981,0.00002183557,0.000003521398],"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":[0.0000508987,0.0000251263,0.0005801195,0.0002521111,0.00003069243,0.0001688124,0.00005348054,0.03183542,0.8999012,0.006791148,0.0007633644,0.0595477],"study_design_scores_gemma":[0.00007706422,0.000822074,0.003207872,0.000063088,0.0001026745,0.0008915184,0.00007716277,0.3586819,0.6092122,0.005269649,0.02156348,0.0000313275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4755279,0.002591097,0.5128446,0.0002558893,0.00009697834,0.0001731701,0.0003091842,0.0005148846,0.007686336],"genre_scores_gemma":[0.7631201,0.001269044,0.2322346,0.00005982901,0.00002394052,0.0001028474,0.0001889742,0.00004939286,0.002951307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0007498973,"threshold_uncertainty_score":0.00250864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633847278342649,"score_gpt":0.2671815129981264,"score_spread":0.2308430402146999,"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."}}