{"id":"W2162743530","doi":"10.1109/newcas.2004.1359057","title":"Synchronous to asynchronous conversion using GasP control","year":2004,"lang":"en","type":"article","venue":"The 2nd Annual IEEE Northeast Workshop on Circuits and Systems, 2004. NEWCAS 2004.","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Datapath; Asynchronous communication; Computer science; Asynchronous circuit; Electronic circuit; Sequential logic; Synchronous circuit; Clock signal; Logic synthesis; Logic gate; Parallel computing; Algorithm; Engineering; Electrical engineering; Computer network; Jitter","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":[0.0001578466,0.0003387031,0.0001743276,0.000448249,0.0002418006,0.0005952322,0.0007226979,0.000239651,0.003318076],"category_scores_gemma":[0.0004540289,0.0001487959,0.0002104626,0.0002975145,0.0004072892,0.0006745954,0.0004440243,0.0005163338,0.0005518884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373735,"about_ca_system_score_gemma":0.0001905395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003993018,"about_ca_topic_score_gemma":0.0005477648,"domain_scores_codex":[0.9997072,0.00003568191,0.00001744572,0.00007735952,0.000136307,0.00002605331],"domain_scores_gemma":[0.999823,0.00004379377,0.00002061021,0.00006746662,0.00003753615,0.000007540925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000278303,0.000168713,0.000691576,0.0002469132,0.00004665466,0.000690814,0.000328767,0.03320857,0.3241958,0.1495194,0.003889255,0.4867352],"study_design_scores_gemma":[0.0001800466,0.0009389069,0.001159705,0.00007298548,0.0001363118,0.001518153,0.00008797511,0.4225092,0.3815976,0.06974501,0.1219881,0.00006610015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05805901,0.0003557081,0.9029945,0.0001813303,0.0002728724,0.0001652528,0.00008462968,0.00398999,0.03389677],"genre_scores_gemma":[0.7761766,0.0003572479,0.2103994,0.000268591,0.0001369213,0.0001266315,0.0001046841,0.0002018443,0.01222797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003318076,"threshold_uncertainty_score":0.01110005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810573390262057,"score_gpt":0.2309787639817341,"score_spread":0.2128730300791136,"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."}}