{"id":"W1557966178","doi":"10.1023/a:1008995826675","title":"Macrodiversity in DS/CDMA Asynchronous Systems with Decorrelating Detectors","year":2001,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Asynchronous communication; Interference (communication); Code division multiple access; Algorithm; Computer network; Real-time computing; 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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0007499506,0.0002407857,0.00030444,0.0003461337,0.0007791031,0.0003348076,0.005655804,0.0001314349,0.0000221173],"category_scores_gemma":[0.00004758531,0.0002390063,0.00007382182,0.001762542,0.0003524879,0.0007792971,0.002093562,0.0009737048,0.0001096451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004388679,"about_ca_system_score_gemma":0.0002642118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416461,"about_ca_topic_score_gemma":0.002660348,"domain_scores_codex":[0.997257,0.0007145343,0.000406218,0.0004563035,0.0005801816,0.0005857744],"domain_scores_gemma":[0.9950655,0.00085441,0.0001993781,0.003413484,0.0002723265,0.0001949252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001606081,0.001597749,0.6902965,0.0001092264,0.0002474473,0.0001910738,0.02312583,0.01952405,0.000640244,0.1084324,0.000670334,0.1550045],"study_design_scores_gemma":[0.0007361344,0.00008038835,0.03876801,0.0001774812,0.000007903663,0.000136188,0.001211644,0.9549007,0.00001640154,0.00008120986,0.003487678,0.000396232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7980785,0.002979448,0.1809619,0.004679505,0.0001607652,0.000883114,0.00001242605,0.0005361399,0.01170816],"genre_scores_gemma":[0.9855017,0.0009093438,0.01312605,0.00007693909,0.00002957772,0.0001295271,0.00002427092,0.00002382007,0.0001787594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9353767,"threshold_uncertainty_score":0.9997241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546161175747942,"score_gpt":0.2749802120690889,"score_spread":0.2395186003116095,"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."}}