{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098705,0.000446711,0.0004515639,0.0004223124,0.0004980172,0.00073304,0.0006027119,0.0006764573,0.0004955898],"category_scores_gemma":[0.002415718,0.0002191002,0.0002789013,0.0005615946,0.000614621,0.001151659,0.001120193,0.0005067688,0.0002376876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004846984,"about_ca_system_score_gemma":0.0004031488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005284648,"about_ca_topic_score_gemma":0.0007659361,"domain_scores_codex":[0.9991325,0.0003829357,0.00002317028,0.00008702045,0.0002832642,0.00009120292],"domain_scores_gemma":[0.9987981,0.0006208675,0.00009951336,0.0002346261,0.0002048959,0.00004186324],"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":[0.0002548212,0.0001193726,0.001224411,0.0002047712,0.0001440157,0.0006657854,0.0006784648,0.5483627,0.05694712,0.2341679,0.002432929,0.1547977],"study_design_scores_gemma":[0.00003975595,0.0001725575,0.000227881,0.00001785299,0.00004292613,0.0002768799,0.00003916095,0.9203128,0.007590014,0.06457477,0.006679859,0.00002553021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0805359,0.001542774,0.9068307,0.0002480876,0.00007834892,0.00005116742,0.00002303874,0.000354966,0.01033498],"genre_scores_gemma":[0.9112536,0.0006824443,0.08543926,0.0001472679,0.00008188812,0.00007911673,0.00002033801,0.00001484546,0.002281203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001098705,"threshold_uncertainty_score":0.005810618,"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."}}