{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007903189,0.0001360023,0.0002120606,0.000170316,0.00007818679,0.00005363636,0.0006041155,0.00009692748,0.000006931222],"category_scores_gemma":[0.00009105572,0.0001214319,0.00005944315,0.0003534312,0.00002681565,0.000131882,0.0001038782,0.00003719281,0.0000071076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005938196,"about_ca_system_score_gemma":0.00006809019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002430824,"about_ca_topic_score_gemma":5.566608e-7,"domain_scores_codex":[0.9986628,0.0001452627,0.0003697215,0.0003420873,0.0002389563,0.0002412173],"domain_scores_gemma":[0.9985552,0.0004002036,0.000191811,0.000581421,0.0002104485,0.00006087516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001235423,0.0001256595,0.0000238588,0.00008638515,0.0000307851,8.477075e-7,0.0006039997,0.09260328,0.01619712,0.8315037,0.004789727,0.05402227],"study_design_scores_gemma":[0.0001638848,0.0002123166,0.000005279498,0.00004836147,0.000006063586,0.00000750407,0.000006048078,0.8948334,0.1024959,0.001449006,0.0006383492,0.0001338844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001030864,0.00006463172,0.9960007,0.00004008435,0.0002372984,0.000375194,4.226407e-7,0.0005911388,0.002587431],"genre_scores_gemma":[0.5773987,0.000001117929,0.4213216,0.00007308299,0.00003594638,0.00008756621,7.656237e-7,0.00001322821,0.001067931],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8300547,"threshold_uncertainty_score":0.4951847,"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."}}