{"id":"W1801328575","doi":"10.1109/ccece.1993.332201","title":"Adaptive nulling with a multiple-beam antenna in FH/FDMA satellite communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Jamming; Computer science; Communications satellite; Antenna (radio); SIGNAL (programming language); Frequency-division multiple access; Satellite; Constraint (computer-aided design); Antenna array; Electronic engineering; Signal processing; Telecommunications; Engineering; Orthogonal frequency-division multiplexing; Radar; Physics","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":[0.000407763,0.0001527615,0.0001887059,0.0002439971,0.0002198319,0.0001855421,0.003945716,0.00006520026,0.0000368758],"category_scores_gemma":[0.00005599747,0.0001285944,0.00003444391,0.001787713,0.0002081212,0.0006244761,0.00119086,0.0005092779,0.0001989814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009500451,"about_ca_system_score_gemma":0.00004097834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002173525,"about_ca_topic_score_gemma":0.001443664,"domain_scores_codex":[0.9982636,0.0002881631,0.0003115493,0.0003483189,0.0003578865,0.0004304886],"domain_scores_gemma":[0.9953242,0.0008901283,0.00008235576,0.003335126,0.0002448554,0.000123328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001244427,0.00273514,0.080466,0.00005032486,0.0001729421,0.0001011954,0.0179182,0.007365778,0.001970103,0.2656865,0.001064681,0.6223447],"study_design_scores_gemma":[0.0005488136,0.0000707866,0.006231603,0.00008880113,0.000001266159,0.00001383647,0.0001973513,0.9885421,0.0001065876,0.0001697517,0.003834497,0.000194596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01007951,0.01051378,0.9089191,0.01416518,0.00006417386,0.00116366,0.000002473246,0.0006975169,0.05439463],"genre_scores_gemma":[0.8569336,0.00313269,0.1389743,0.0002051254,0.00001190334,0.00007939775,0.000002660779,0.00001382285,0.0006464779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9811763,"threshold_uncertainty_score":0.7332187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08026836090298824,"score_gpt":0.2783571968412136,"score_spread":0.1980888359382253,"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."}}