{"id":"W2169234363","doi":"10.1109/pacrim.2007.4313242","title":"Acquisition Techniques at Symbol Sampling Rate for UWB Communications","year":2007,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Intersymbol interference; Computer science; Synchronization (alternating current); Sampling (signal processing); Symbol (formal); Interference (communication); Symbol rate; Data acquisition; Pulse shaping; Real-time computing; Communications system; Set (abstract data type); Filter (signal processing); Electronic engineering; Bit error rate; Telecommunications; Decoding methods; Engineering; Power (physics); Computer vision; 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":[0.0004111897,0.0001014313,0.0001102891,0.000151299,0.0002342439,0.00001611521,0.0006079594,0.000134756,0.00003779266],"category_scores_gemma":[0.00003245608,0.0001078606,0.00004929798,0.0001944537,0.00006869843,0.00008647193,0.0001503191,0.0001336586,0.00003442911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418792,"about_ca_system_score_gemma":0.000005216062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008881032,"about_ca_topic_score_gemma":0.0001555654,"domain_scores_codex":[0.9993636,0.00001278952,0.0002449683,0.00009602486,0.00003904085,0.0002435758],"domain_scores_gemma":[0.9981647,0.0003958584,0.00002735293,0.001311757,0.00006765018,0.00003269529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000223057,0.0001000642,0.0007429517,0.00006261346,0.00009579347,3.861761e-7,0.0003851006,0.0002185146,0.7820293,0.1061153,0.005439308,0.1047884],"study_design_scores_gemma":[0.0003156883,0.00005953633,0.001749238,0.00004458953,0.00003826915,0.00001914297,0.0003044816,0.007693353,0.7643433,0.01462919,0.2103642,0.0004389247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04227532,0.0005993319,0.9214348,0.0009898631,0.00006068421,0.000565724,0.00001411926,0.003559157,0.030501],"genre_scores_gemma":[0.8217022,0.0002899806,0.1773545,0.00012829,0.00001683978,0.0001798536,0.00007673234,0.00002795546,0.000223532],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7794269,"threshold_uncertainty_score":0.4398429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923339050980008,"score_gpt":0.2964594287476757,"score_spread":0.2672260382378757,"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."}}