{"id":"W2117467102","doi":"10.1109/twc.2008.060626","title":"On antijamming in general CDMA systems-part I: multiuser capacity analysis","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Telecommunications link; Computer science; Channel state information; Jamming; Nakagami distribution; Channel capacity; Bandwidth (computing); Computer network; Spread spectrum; Channel (broadcasting); Code division multiple access; Telecommunications; Wireless","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007023123,0.0003358699,0.0005432079,0.001518385,0.001414083,0.0001880694,0.005206331,0.0001778812,0.00002797585],"category_scores_gemma":[0.00001986905,0.0003599889,0.000308988,0.004750859,0.0004152614,0.0006498748,0.00006745038,0.001366756,0.0001612928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003812075,"about_ca_system_score_gemma":0.0001645017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202822,"about_ca_topic_score_gemma":0.0018422,"domain_scores_codex":[0.9958784,0.001323507,0.0008197778,0.00064177,0.0007318085,0.0006047682],"domain_scores_gemma":[0.9902928,0.001396751,0.0002106969,0.00757998,0.0002914037,0.0002283946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003658948,0.002451358,0.00119711,0.00002139392,0.0005380978,0.00002164629,0.002206239,0.9429646,0.0006634045,0.03767691,0.0004916697,0.011731],"study_design_scores_gemma":[0.0006398314,0.00006407456,0.00314498,0.00008536193,0.00004531628,0.0000222268,0.00005557402,0.9928698,0.001128034,0.00006730943,0.001456529,0.0004209494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2700542,0.0001650393,0.7262017,0.001346741,0.000266267,0.0004967703,0.00003185717,0.0003283206,0.00110908],"genre_scores_gemma":[0.9831308,0.001901955,0.01363603,0.0001725017,0.0000238442,0.000464647,0.00001980179,0.00003475853,0.0006156686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7130766,"threshold_uncertainty_score":0.9998859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07424880424067813,"score_gpt":0.2994807687254821,"score_spread":0.225231964484804,"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."}}