{"id":"W2054898736","doi":"10.1155/asp/2006/35352","title":"Spectrally Efficient Communication over Time-Varying Frequency-Selective Mobile Channels: Variable-Size Burst Construction and Adaptive Modulation","year":2006,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Link adaptation; Spectral efficiency; Channel (broadcasting); Quality of service; Modulation (music); Key (lock); Fading; Variable (mathematics); Burst mode (computing); Real-time computing; Adaptation (eye); Electronic engineering; Telecommunications; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006688212,0.0004387548,0.0004342907,0.0003953141,0.0003202558,0.0005331358,0.0005387153,0.0004047073,0.0003976795],"category_scores_gemma":[0.001688464,0.0001909606,0.0002216109,0.0005637452,0.0007915281,0.0006565918,0.0007164208,0.000560719,0.0001109431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227597,"about_ca_system_score_gemma":0.0003169197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005498213,"about_ca_topic_score_gemma":0.0005881074,"domain_scores_codex":[0.9996518,0.0001535126,0.00001418205,0.00003531668,0.0001010806,0.00004416425],"domain_scores_gemma":[0.9991639,0.0005287027,0.0001101279,0.00009890131,0.00007489573,0.00002344499],"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":[0.0005838417,0.0001400194,0.001375873,0.0002417019,0.0000756762,0.0002264218,0.0004127785,0.5418929,0.0755935,0.1071092,0.001457081,0.270891],"study_design_scores_gemma":[0.00002939775,0.0001469571,0.0002538563,0.00001490849,0.00001705164,0.0001444033,0.00002446982,0.9805038,0.007352953,0.009667912,0.001825249,0.00001903601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04370766,0.001388266,0.9526811,0.0001445923,0.00003726641,0.00003199742,0.00001287249,0.0001214641,0.001874806],"genre_scores_gemma":[0.8171984,0.001244936,0.1798294,0.00006795408,0.0001061745,0.0001072678,0.00003172288,0.00003394233,0.001380178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006688212,"threshold_uncertainty_score":0.003537118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132488380554448,"score_gpt":0.2727373087615287,"score_spread":0.2614124249559842,"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."}}