{"id":"W2033959431","doi":"10.1109/cwit.2013.6621608","title":"Scheduling in omnidirectional relay networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Omnidirectional antenna; Relay; Scheduling (production processes); Wireless; Duplex (building); Scheme (mathematics); Wireless network; Mathematical optimization; Greedy algorithm; Computer network; Algorithm; Mathematics; Telecommunications; Antenna (radio)","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":[0.000620138,0.0003661877,0.000463708,0.0002220263,0.0002944741,0.0005797609,0.000637389,0.0003939928,0.001422706],"category_scores_gemma":[0.001371029,0.0002094557,0.0001757997,0.0005378141,0.0004830389,0.0009819528,0.0005004723,0.000365382,0.000356478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005261056,"about_ca_system_score_gemma":0.0004978449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026661,"about_ca_topic_score_gemma":0.0009511119,"domain_scores_codex":[0.9996482,0.0001445971,0.00001438847,0.00006714187,0.00006402886,0.00006165681],"domain_scores_gemma":[0.9994972,0.0002584872,0.00009083416,0.00004971091,0.00006231692,0.00004149025],"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":[0.0001988299,0.00004898669,0.000450725,0.0001586648,0.00002491675,0.0002449517,0.0001651799,0.7247239,0.007317828,0.2228951,0.002961715,0.04080915],"study_design_scores_gemma":[0.00002540035,0.00009423013,0.0001882442,0.000009632495,0.00001109501,0.0001174136,0.0001157887,0.9197535,0.001895031,0.07387175,0.003902015,0.00001594209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07192701,0.0009838353,0.9103482,0.0003648897,0.00009125679,0.00004195321,0.0001215502,0.0001368703,0.01598452],"genre_scores_gemma":[0.9038463,0.002119092,0.08796454,0.0001551268,0.00009882639,0.00007567388,0.000120354,0.00004247394,0.005577579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001422706,"threshold_uncertainty_score":0.004759431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02530905105783359,"score_gpt":0.2552278207719437,"score_spread":0.2299187697141101,"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."}}