{"id":"W2145575282","doi":"10.1109/isit.2008.4595395","title":"Power and resource allocation for orthogonal multiple access relay systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Resource allocation; Relay; Computer science; Channel (broadcasting); Mathematical optimization; Power (physics); Signal-to-noise ratio (imaging); Resource management (computing); Computer network; Mathematics; Telecommunications","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":[0.0002082243,0.00006576115,0.00007946665,0.0000443393,0.0003081419,0.0001295716,0.0005056471,0.00002945348,0.000007069636],"category_scores_gemma":[0.00006169951,0.00005640387,0.0000209411,0.0001402197,0.00003172745,0.0003764229,0.0002749378,0.0000537938,0.000005266662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001494128,"about_ca_system_score_gemma":0.00002777171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003965567,"about_ca_topic_score_gemma":0.00001008677,"domain_scores_codex":[0.9994015,0.00006131684,0.000141085,0.0001923073,0.00009259574,0.0001112076],"domain_scores_gemma":[0.999227,0.0001905021,0.00004428806,0.0003676396,0.0001180912,0.00005241752],"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":[0.00004620779,0.0001669136,0.0146807,0.00003648441,0.00005445966,0.000004816446,0.003963891,0.00359373,0.002136428,0.8867794,0.05097968,0.03755726],"study_design_scores_gemma":[0.0005365524,0.00005123532,0.01454977,0.00002123297,0.000001628142,0.00003840718,0.00003081614,0.7579107,0.0002328755,0.00006550559,0.2263843,0.0001770373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04919752,0.0007156353,0.942836,0.001776466,0.0001110983,0.0002993263,8.046226e-7,0.0001242715,0.004938883],"genre_scores_gemma":[0.9913722,0.0001862036,0.00632982,0.0003819581,0.00002465172,0.00004640159,0.000004016349,0.000004698458,0.00165008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9421747,"threshold_uncertainty_score":0.2370009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06719368332266397,"score_gpt":0.2963413521064543,"score_spread":0.2291476687837904,"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."}}