{"id":"W2160889170","doi":"10.1109/milcom.1997.646735","title":"A spread spectrum system with a time domain processing device","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":"McMaster University","funders":"","keywords":"Computer science; Spread spectrum; Interference (communication); Wireless; Probability of error; Domain (mathematical analysis); Signal processing; Frequency domain; Communications system; Electronic engineering; Telecommunications; Algorithm; Computer hardware; Digital signal processing; Code division multiple access; Engineering; 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":[0.0002624927,0.0004804463,0.0004062929,0.0004546198,0.0004853906,0.0008417387,0.0007449726,0.001256513,0.004907389],"category_scores_gemma":[0.0006259469,0.0002309339,0.0003114654,0.0005264979,0.0006003988,0.001125144,0.0005016637,0.0007753622,0.00200255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996507,"about_ca_system_score_gemma":0.0002699147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319636,"about_ca_topic_score_gemma":0.0001928043,"domain_scores_codex":[0.9996612,0.00009110936,0.00001591416,0.00006125298,0.0001417731,0.00002867531],"domain_scores_gemma":[0.9996778,0.0001005773,0.00003381335,0.00005832658,0.00009559443,0.00003387432],"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":[0.0009269595,0.0003643827,0.001276926,0.0005765795,0.0001165337,0.001180057,0.0003031291,0.02015303,0.6891415,0.08609648,0.005681515,0.1941829],"study_design_scores_gemma":[0.0004400142,0.004775567,0.002735689,0.0001973678,0.000399232,0.006054782,0.0001466075,0.4780901,0.3353154,0.02962075,0.1419524,0.0002722206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07242204,0.001045954,0.9042795,0.0006105151,0.0004482661,0.0003021557,0.0001489351,0.002021896,0.01872071],"genre_scores_gemma":[0.5369201,0.001093906,0.4421051,0.0006740201,0.0005087531,0.0003476742,0.0001698673,0.00006100357,0.01811955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004907389,"threshold_uncertainty_score":0.01641691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241014032321759,"score_gpt":0.2479651698246278,"score_spread":0.2238637665924519,"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."}}