{"id":"W1914891733","doi":"10.1002/wcm.1138","title":"Cooperative communications with relay selection for wireless networks: design issues and applications","year":2011,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Norges Forskningsråd","keywords":"Relay; Computer science; Computer network; Selection (genetic algorithm); Cooperative diversity; Key (lock); Wireless; Relay channel; Game theory; Spectral efficiency; Wireless network; Distributed computing; Telecommunications; Computer security; Artificial intelligence; Channel (broadcasting)","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":[0.002218105,0.0006768613,0.0005354474,0.0006098302,0.0003577213,0.001485347,0.0008354385,0.001565076,0.001031282],"category_scores_gemma":[0.004247206,0.0003932829,0.0003953394,0.00102727,0.001341681,0.001310107,0.0007293688,0.001046196,0.000376437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009513181,"about_ca_system_score_gemma":0.0005291434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005827076,"about_ca_topic_score_gemma":0.0004868657,"domain_scores_codex":[0.9987202,0.0007244155,0.00006440538,0.0001223151,0.0003274315,0.00004137115],"domain_scores_gemma":[0.9979516,0.001282794,0.000168602,0.0001548416,0.0004109699,0.00003124209],"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":[0.00005038647,0.00006719,0.000529677,0.0007163947,0.00007538959,0.0004039632,0.0004082493,0.1489548,0.007668287,0.6688085,0.004470815,0.1678463],"study_design_scores_gemma":[0.00003567131,0.0002433801,0.0002716295,0.0002267569,0.0000554126,0.0006233216,0.0001246869,0.5873225,0.003858407,0.3565825,0.0506113,0.00004447028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005331829,0.02270602,0.9601414,0.001646966,0.0001910871,0.00008499794,0.00001596909,0.00008304956,0.009798629],"genre_scores_gemma":[0.5751364,0.05167732,0.3589891,0.0007395041,0.001349942,0.0009485813,0.00006921356,0.00004778088,0.01104222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002218105,"threshold_uncertainty_score":0.01173061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06244162308857815,"score_gpt":0.2998769663056767,"score_spread":0.2374353432170986,"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."}}