{"id":"W3082388577","doi":"10.1109/async49171.2020.00012","title":"Optimization and Comparison of Synchronizers","year":2020,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Synchronizer; Computer science; Component (thermodynamics); Synchronization (alternating current); Electronic circuit; Linear programming; Sizing; Algorithm; Parallel computing; Distributed computing; Electrical engineering; Channel (broadcasting)","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":[0.00001833482,0.00005194414,0.00009981759,0.00002026752,0.000009828661,0.000007277479,0.00003923057,0.0000259879,0.0001219987],"category_scores_gemma":[0.000005095,0.00004891319,0.000008787551,0.00009770059,0.00001470929,0.00009239824,0.000009722533,0.00003858214,0.00001217504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009141319,"about_ca_system_score_gemma":0.000003727761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001842797,"about_ca_topic_score_gemma":4.698939e-7,"domain_scores_codex":[0.9997073,0.000003330625,0.0001108961,0.00005535529,0.00005646859,0.00006658222],"domain_scores_gemma":[0.9998787,0.00001053693,0.00001082403,0.00004858925,0.00001053533,0.00004081848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002329334,0.000003682342,0.002257761,0.0000753275,0.00001149626,2.254259e-7,0.0005298113,0.9899759,0.002983687,0.0001005838,0.002816789,0.001242374],"study_design_scores_gemma":[0.0001582835,0.00003479354,0.0001797287,0.000005252362,0.000005756907,2.557808e-7,0.00007584383,0.9734844,0.02557573,0.0000013369,0.0004200535,0.00005855688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2092035,0.0005167588,0.7789053,0.0001825405,0.0001205066,0.0001357712,0.000001942357,0.0004136476,0.01052002],"genre_scores_gemma":[0.9837652,0.00003854942,0.0161204,0.00003244283,0.00001782474,0.000001402929,0.000002296317,0.000010721,0.00001115696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7745617,"threshold_uncertainty_score":0.1994622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395012984486108,"score_gpt":0.2115111505739699,"score_spread":0.1975610207291088,"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."}}