{"id":"W2319277364","doi":"10.1155/2016/9187438","title":"Joint TAS and Power Allocation for SDF Relaying M2M Cooperative Networks","year":2016,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Nakagami distribution; Relay; Fading; Computer science; Transmitter power output; Selection (genetic algorithm); Power (physics); Outage probability; Antenna (radio); Joint (building); Mathematical optimization; Algorithm; Mathematics; Computer network; Telecommunications; Engineering; Channel (broadcasting); 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":[0.001189034,0.0008294011,0.0006370898,0.0004384345,0.0005406118,0.0007942247,0.0006261971,0.0006094394,0.0007651741],"category_scores_gemma":[0.004007418,0.0003032095,0.0003633115,0.000937132,0.0007664377,0.0008588908,0.0009243909,0.0003104193,0.0001249622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123283,"about_ca_system_score_gemma":0.001053802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003023327,"about_ca_topic_score_gemma":0.003556257,"domain_scores_codex":[0.9991537,0.0003487329,0.00003834787,0.0000979986,0.0002065417,0.0001546439],"domain_scores_gemma":[0.9984282,0.001071147,0.0001890379,0.00007626372,0.0001876645,0.0000477156],"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":[0.000156606,0.0000248455,0.0009994017,0.00007406923,0.00002758436,0.0002207119,0.000133603,0.9470005,0.003764373,0.02317623,0.0006363777,0.02378571],"study_design_scores_gemma":[0.00000956262,0.00004987581,0.0001761943,0.000003941764,0.0000136885,0.00006079389,0.00003467511,0.9926921,0.0008507945,0.005810603,0.0002897732,0.000008049339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2013998,0.000951426,0.7909878,0.0004087283,0.00004109774,0.00004915252,0.00009929849,0.0001679838,0.005894752],"genre_scores_gemma":[0.9879112,0.0002685216,0.01107472,0.00002409923,0.00001868235,0.00002932069,0.0000210509,0.000006752723,0.0006455845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003023327,"threshold_uncertainty_score":0.008944869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798683054806155,"score_gpt":0.2404284512764431,"score_spread":0.2124416207283816,"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."}}