{"id":"W2523975658","doi":"","title":"Joint optimal power allocation and relay selection with spatial diversity in wireless relay networks","year":2011,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Relay; Mathematical optimization; Base station; Computer science; RSS; Wireless; Optimization problem; Selection (genetic algorithm); Wireless network; Node (physics); Power (physics); Computer network; Mathematics; Engineering; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000389007,0.0001392441,0.0001455476,0.0001148881,0.000334601,0.00007363111,0.0003503067,0.00008038248,0.00003363389],"category_scores_gemma":[0.0000172134,0.0001280481,0.00002187982,0.0004715358,0.00006192094,0.0004752607,0.0006416503,0.0002983432,0.000009867881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008504137,"about_ca_system_score_gemma":0.00003963457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001600656,"about_ca_topic_score_gemma":0.001670929,"domain_scores_codex":[0.9989434,0.0001865584,0.0001487468,0.0003405629,0.0001587828,0.0002219163],"domain_scores_gemma":[0.9992963,0.00004208499,0.00009917349,0.0003659538,0.000112686,0.00008381237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001081448,0.001199008,0.4700527,0.00004123057,0.0002334783,0.0001094713,0.1092425,0.08597877,0.003182047,0.168069,0.00381253,0.1569979],"study_design_scores_gemma":[0.0008752772,0.0003081777,0.2795199,0.00008980224,0.00001029354,0.00002622353,0.0001494198,0.717154,0.0008920764,0.00002354113,0.0005935238,0.0003578368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4786714,0.0001031507,0.5192474,0.0006109141,0.000108971,0.0001634609,1.574978e-7,0.00008259842,0.001011968],"genre_scores_gemma":[0.9887244,0.0002357452,0.0106245,0.0001378036,0.00002680536,0.000009789556,0.000001971285,0.000008682568,0.0002302905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6311752,"threshold_uncertainty_score":0.5221651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870162016267955,"score_gpt":0.2280032232263521,"score_spread":0.1993016030636726,"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."}}