{"id":"W2062468832","doi":"10.1109/isvlsi.2014.27","title":"Design of a Flexible, Energy Efficient (Auto)Correlator Block for Timing Synchronization","year":2014,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Synchronization (alternating current); Scalability; Embedded system; Energy consumption; Block (permutation group theory); Overhead (engineering); Flexibility (engineering); Context (archaeology); Efficient energy use; Wireless; Reliability (semiconductor); Distributed computing; Power (physics); Computer network; Channel (broadcasting); Engineering; Telecommunications","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":[0.0003539137,0.0003641331,0.0003787543,0.0004233969,0.0003546165,0.000614921,0.00137926,0.0005203317,0.002437432],"category_scores_gemma":[0.0003671544,0.0002705692,0.0002692947,0.0002730437,0.0002277984,0.0004164149,0.0003410239,0.0004083387,0.001177113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004981824,"about_ca_system_score_gemma":0.001054525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141701,"about_ca_topic_score_gemma":0.001734048,"domain_scores_codex":[0.9997101,0.00003894109,0.00002271424,0.00007924316,0.00009770742,0.00005115001],"domain_scores_gemma":[0.9997393,0.00004779932,0.00005105408,0.00004128709,0.0001010232,0.00001945037],"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":[0.0005232046,0.0001890319,0.001987822,0.0005285074,0.0001576556,0.0005144986,0.0002493366,0.06221395,0.6642389,0.02180267,0.004984507,0.2426099],"study_design_scores_gemma":[0.0002069708,0.001391149,0.002462931,0.0001049837,0.0001770648,0.001232043,0.00004938495,0.5091375,0.4272301,0.001621065,0.05631015,0.00007653204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04634001,0.000930762,0.9422041,0.0001800051,0.0001438299,0.0002868704,0.0001453935,0.002182225,0.007586838],"genre_scores_gemma":[0.5875987,0.0004461571,0.4020205,0.0002430683,0.0000928522,0.0003584393,0.0002466481,0.0001375723,0.0088561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002437432,"threshold_uncertainty_score":0.008154035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276698265769759,"score_gpt":0.2480498814677993,"score_spread":0.2252828988101017,"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."}}