{"id":"W1607543647","doi":"10.1002/wcm.1163","title":"Design, implementation, and evaluation of a field‐programmable gate array‐based wireless local area network synchronizer","year":2011,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Western University","funders":"","keywords":"Synchronizer; Computer science; Gate array; Field-programmable gate array; Baseband; Additive white Gaussian noise; Synchronization (alternating current); Orthogonal frequency-division multiplexing; Wireless; Demodulation; Network packet; Clock synchronization; Fast Fourier transform; Computation; Computer hardware; Channel (broadcasting); Algorithm; Telecommunications; Computer network; Bandwidth (computing)","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":[0.0009929964,0.0002155252,0.0002986731,0.0001072467,0.000332155,0.00003597996,0.0005197101,0.0001001807,0.00002732819],"category_scores_gemma":[0.000007272275,0.000239418,0.00003992546,0.0003117723,0.000243278,0.0001726678,0.0002608075,0.0002440889,8.125948e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007797876,"about_ca_system_score_gemma":0.00006087716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001017808,"about_ca_topic_score_gemma":0.00008337452,"domain_scores_codex":[0.9984466,0.0002994857,0.0005545197,0.0002158831,0.0001983158,0.0002851949],"domain_scores_gemma":[0.9977565,0.0004035143,0.0002066145,0.001222129,0.0003316503,0.00007957823],"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":[0.00001348538,0.00009020994,0.001317426,0.000102142,0.00007097877,2.691066e-7,0.001744175,0.05808972,0.002315096,0.001614866,0.00006623982,0.9345754],"study_design_scores_gemma":[0.0006056104,0.0001212886,0.0004244052,0.0002019083,0.00007036414,0.000004935983,0.001283936,0.9747106,0.02106154,0.0008980174,0.0003476131,0.0002698288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1898049,0.003575782,0.8049949,0.00002218822,0.00003316635,0.0008287064,0.000003653096,0.0003087651,0.0004278891],"genre_scores_gemma":[0.8794058,0.001447185,0.1186719,0.00002885381,0.00001143106,0.0003576721,0.00003810167,0.00003787949,0.000001163614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9343055,"threshold_uncertainty_score":0.9763184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542048694213159,"score_gpt":0.3117726104979499,"score_spread":0.2563521235558183,"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."}}