{"id":"W2158405903","doi":"10.1109/glocom.1995.502611","title":"A rapid synchronization scheme for DS-SS packet data transmission","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Preamble; Synchronization (alternating current); Computer science; Network packet; Frame (networking); Transmission (telecommunications); Real-time computing; Decoding methods; Frame synchronization; Filter (signal processing); Scheme (mathematics); Algorithm; Computer network; Telecommunications; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005394262,0.0003496165,0.0002951552,0.000444509,0.0003146254,0.0003550072,0.0007169816,0.0003636083,0.001560491],"category_scores_gemma":[0.0008605234,0.0001971514,0.0001206747,0.0002953939,0.0003438257,0.0007088495,0.000626779,0.0004737243,0.0005468487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360561,"about_ca_system_score_gemma":0.0004778418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003316841,"about_ca_topic_score_gemma":0.0005401078,"domain_scores_codex":[0.9996114,0.00009478572,0.00002173462,0.00004665804,0.0001898744,0.00003566209],"domain_scores_gemma":[0.9996231,0.00007275138,0.00006517579,0.0000878223,0.0001170697,0.0000341187],"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":[0.0005566714,0.0001033438,0.001126854,0.0002164811,0.00004024521,0.0002297278,0.0001797509,0.006697101,0.56317,0.03848102,0.003233766,0.3859652],"study_design_scores_gemma":[0.0004922469,0.003845497,0.004373642,0.00007586589,0.0001654106,0.003916793,0.0001116182,0.320087,0.5544368,0.0144298,0.09787346,0.0001918234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1117618,0.001406241,0.8795651,0.0002375362,0.0002628161,0.0002696617,0.00009808401,0.001170184,0.005228539],"genre_scores_gemma":[0.7385304,0.0006811629,0.2517405,0.0001472737,0.0001757057,0.0002460322,0.0001742702,0.00003916059,0.008265528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001560491,"threshold_uncertainty_score":0.005220294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514106284199148,"score_gpt":0.3251291108487035,"score_spread":0.1737184824287887,"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."}}