{"id":"W2148741658","doi":"10.1109/twc.2009.12.090684","title":"Resource Allocation and Relay Selection for Collaborative Communications","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Relay; Computer science; Selection (genetic algorithm); Resource (disambiguation); Computer network; Channel (broadcasting); Protocol (science); Bandwidth (computing); Artificial intelligence","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":[0.003444446,0.001113882,0.001184095,0.0006296664,0.0008344484,0.001534863,0.001748129,0.001816895,0.00260838],"category_scores_gemma":[0.01110248,0.0004508078,0.0007190738,0.001120035,0.00179399,0.002281919,0.001585682,0.001000708,0.0005130114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533361,"about_ca_system_score_gemma":0.001113139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345782,"about_ca_topic_score_gemma":0.0009688585,"domain_scores_codex":[0.9966595,0.001932737,0.0000844904,0.0004230233,0.0005191221,0.0003812178],"domain_scores_gemma":[0.9927857,0.005960742,0.0004382322,0.0003742252,0.0002976498,0.0001434555],"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":[0.0002342532,0.0001040345,0.0004414677,0.0001697731,0.00007455374,0.0003180333,0.000180058,0.8021443,0.004329394,0.1644696,0.001700686,0.02583389],"study_design_scores_gemma":[0.0000401725,0.00007988561,0.00009625087,0.00001149446,0.0000205203,0.00009964868,0.00003509807,0.9464126,0.001305302,0.05066112,0.001223694,0.00001431671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01880749,0.0005320431,0.9740034,0.0003546741,0.00004921925,0.00005860615,0.00003126684,0.0000737998,0.006089561],"genre_scores_gemma":[0.8408653,0.000781483,0.1533458,0.0001657578,0.0001326606,0.0002909054,0.0000543582,0.00004215991,0.004321569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003444446,"threshold_uncertainty_score":0.01821619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743901978146337,"score_gpt":0.3026921015179036,"score_spread":0.2552530817364402,"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."}}