{"id":"W1562220595","doi":"10.1002/wcm.2600","title":"Power allocation and transmission scheduling for a network with bidirectional relaying links","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Relay; Network packet; Linear network coding; Computer network; Scheduling (production processes); Markov decision process; Heuristic; Transmission (telecommunications); Transmission delay; Node (physics); Markov process; Mathematical optimization; Power (physics); Telecommunications; Mathematics","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":[0.001099666,0.0005534526,0.0005989533,0.0003929845,0.0004736931,0.0007352337,0.0007785443,0.0005617946,0.001627606],"category_scores_gemma":[0.002351709,0.0003387777,0.0002958284,0.0005620412,0.0006842072,0.0008547988,0.0006224844,0.0005525145,0.0001636422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131758,"about_ca_system_score_gemma":0.0009719062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006464418,"about_ca_topic_score_gemma":0.004537995,"domain_scores_codex":[0.9995804,0.0001624836,0.00001279576,0.000066041,0.00006444641,0.0001138059],"domain_scores_gemma":[0.9984894,0.001083999,0.0002044477,0.00004275846,0.0001079713,0.00007138576],"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":[0.00007129109,0.00002842815,0.0002569461,0.00003246708,0.00001177085,0.0001053933,0.00004079962,0.9816645,0.002020643,0.008920763,0.0002507337,0.006596192],"study_design_scores_gemma":[0.000004903746,0.00001778578,0.00005444005,0.00000135062,0.000003294402,0.000008728178,0.00001246133,0.9975611,0.0002047079,0.002050888,0.00007814548,0.000002236222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2270152,0.0006944509,0.7664407,0.0004223016,0.00004816274,0.00006367591,0.00009481198,0.00009582152,0.005124896],"genre_scores_gemma":[0.9813213,0.0002937352,0.01662729,0.00002697776,0.00001890115,0.00003655114,0.00002618607,0.00001706549,0.001631954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006464418,"threshold_uncertainty_score":0.01285356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04178285987175941,"score_gpt":0.2934975125352066,"score_spread":0.2517146526634472,"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."}}