{"id":"W2168166719","doi":"10.1109/bsc.2006.1644573","title":"Cooperative Networks with Multiuser Diversity","year":2006,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cooperative diversity; Computer science; Diversity (politics); Diversity scheme; Protocol (science); Scheme (mathematics); Expression (computer science); Power (physics); Diversity combining; Order (exchange); Diversity gain; Algorithm; Telecommunications; Mathematics; Wireless network; Fading; Wireless; Decoding methods","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":[0.0001009029,0.00008811714,0.0000828198,0.00003049039,0.0005126193,0.0001080423,0.0006300844,0.00002427578,0.00006190949],"category_scores_gemma":[0.000003424859,0.00006357871,0.00001919928,0.000360536,0.00004558385,0.0003413186,0.0008762099,0.0001014267,0.00002741488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002472184,"about_ca_system_score_gemma":0.00001698554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005379989,"about_ca_topic_score_gemma":0.0006388618,"domain_scores_codex":[0.9993917,0.00006795406,0.00008364426,0.0001928131,0.0001113506,0.0001525387],"domain_scores_gemma":[0.9993085,0.00005929945,0.00002832175,0.0004192267,0.0001460438,0.0000386663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001917737,0.0002000568,0.03390279,0.000001777292,0.00003413022,0.00001890387,0.0006249177,0.08812714,0.0001296906,0.8317121,0.02261131,0.02261804],"study_design_scores_gemma":[0.0008022313,0.00009072563,0.04087057,0.00001481431,0.000004718888,0.000007998457,0.00003037835,0.9440033,0.0004399001,0.000162792,0.01324449,0.0003280984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007284763,0.0001294604,0.9602372,0.0006973401,0.00004855025,0.00009696242,1.638624e-7,0.0001914406,0.03131412],"genre_scores_gemma":[0.9751896,0.00004832929,0.02160233,0.0005826638,0.00003720788,0.000004604212,0.000002568584,0.000003359074,0.002529325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9679049,"threshold_uncertainty_score":0.3942704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088419753573423,"score_gpt":0.2263756007221321,"score_spread":0.2054914031863979,"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."}}