{"id":"W2139005837","doi":"10.1109/glocom.2004.1378089","title":"Adaptive modulation using variable-size burst for spectrally efficient interference suppression in wireless communications","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interference (communication); Wireless; Computer science; Modulation (music); Spread spectrum; Electronic engineering; Variable (mathematics); Adaptive optics; Link adaptation; Telecommunications; Code division multiple access; Physics; Optics; Channel (broadcasting); Acoustics; Engineering; Fading; Mathematics","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":[0.0004858076,0.0003155286,0.0002935253,0.0002633146,0.000204057,0.0003123706,0.0003865882,0.0002914,0.0005617255],"category_scores_gemma":[0.001466532,0.00009362592,0.0001289587,0.0004603467,0.0003341785,0.0004671886,0.0002361203,0.0003514833,0.000161753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817498,"about_ca_system_score_gemma":0.0001608014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002526264,"about_ca_topic_score_gemma":0.000450454,"domain_scores_codex":[0.9997885,0.00007054785,0.00001539393,0.00003285507,0.00007314391,0.00001961797],"domain_scores_gemma":[0.9993644,0.0003655437,0.00007308284,0.00008007542,0.00009880953,0.00001814745],"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":[0.001349365,0.0002570224,0.003360983,0.0002812123,0.00007031923,0.0003481909,0.0003137102,0.05718701,0.6439835,0.02348929,0.0006999749,0.2686594],"study_design_scores_gemma":[0.0001014122,0.001050485,0.002979769,0.00005392691,0.00007200646,0.0008174399,0.00005822337,0.8057225,0.1723889,0.008797652,0.007910137,0.00004758284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3011372,0.002286129,0.6926295,0.0002677598,0.0001510162,0.00009517398,0.00003014988,0.0002887718,0.003114314],"genre_scores_gemma":[0.8792428,0.0007324015,0.1188488,0.00008067754,0.00007498296,0.00004548514,0.00002991173,0.00002702637,0.0009179327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005617255,"threshold_uncertainty_score":0.002569199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509924949835452,"score_gpt":0.2916512981087057,"score_spread":0.2565520486103512,"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."}}