{"id":"W1993961741","doi":"10.1109/tvt.2014.2376779","title":"Distributed Resource Allocation for Multihop Decode-and-Forward Relay Systems","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Computer network; Resource allocation; Multiplexing; Network packet; Optimization problem; Relay channel; Distributed computing; Telecommunications; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009266391,0.0007167141,0.0008578558,0.0003705052,0.0004937379,0.0007851173,0.0009640111,0.0007062151,0.001361664],"category_scores_gemma":[0.002140534,0.0002990345,0.0002938162,0.0004778835,0.0006108903,0.0008963119,0.0007921194,0.0005426828,0.0002663199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061052,"about_ca_system_score_gemma":0.0007285262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164626,"about_ca_topic_score_gemma":0.002517952,"domain_scores_codex":[0.9993941,0.0002264933,0.00002499045,0.0001042218,0.0001671964,0.0000830053],"domain_scores_gemma":[0.999226,0.0004791552,0.00009071473,0.00005842205,0.0001199298,0.00002574296],"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":[0.00009732683,0.00004821719,0.0001440367,0.00006354122,0.00002214394,0.0001047513,0.00007038868,0.9456562,0.004441915,0.01755777,0.0007461727,0.03104756],"study_design_scores_gemma":[0.000009583468,0.00002213784,0.0000271135,0.000002079191,0.000003407988,0.00001624214,0.0000104986,0.9957267,0.0005701872,0.003329819,0.0002774038,0.000004853623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01894776,0.0005773265,0.9775948,0.0001141682,0.00003347661,0.00004268217,0.00002469555,0.0001259033,0.002539165],"genre_scores_gemma":[0.9139952,0.000443227,0.08287192,0.00005695218,0.00003009208,0.0001401831,0.00003254638,0.00002598593,0.002403853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002164626,"threshold_uncertainty_score":0.007698536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641543334575224,"score_gpt":0.2494745711618282,"score_spread":0.233059137816076,"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."}}