{"id":"W2156660835","doi":"10.1109/vetecs.2012.6239952","title":"Power Allocation in Energy Harvesting Relay Systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Computer science; Transmitter power output; Mathematical optimization; Energy harvesting; Optimization problem; Convex optimization; Throughput; Power (physics); Transmission (telecommunications); Energy (signal processing); Online algorithm; Wireless; Computer network; Regular polygon; Telecommunications; Mathematics; Algorithm; Channel (broadcasting)","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":[0.0002669414,0.0001270017,0.0001245505,0.00008952042,0.00002412599,0.00003581403,0.0000998849,0.0001139253,0.00002942968],"category_scores_gemma":[0.00004425232,0.0001289593,0.00001910382,0.0002319701,0.00001232365,0.0003519238,0.00002073056,0.000133075,0.00003119559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016388,"about_ca_system_score_gemma":0.000005755208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002811027,"about_ca_topic_score_gemma":0.00007452069,"domain_scores_codex":[0.9991127,0.00003717207,0.0002524974,0.0001022256,0.0001121759,0.0003832169],"domain_scores_gemma":[0.9995669,0.0001078727,0.00002487049,0.0001911715,0.00001871196,0.00009043868],"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":[5.612966e-7,0.00001192165,0.009981219,0.00001749757,0.000007720851,0.000001501203,0.00009487251,0.9599899,0.00091523,0.02721468,0.0008619859,0.0009029082],"study_design_scores_gemma":[0.0002131335,0.00001062676,0.01493741,0.0002028285,0.000004861494,0.00002411596,0.00010333,0.9458184,0.001478567,0.00001791438,0.03677834,0.0004105059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478085,0.005630693,0.136496,0.00003411902,0.003906914,0.00011906,8.850403e-7,0.001888274,0.3041156],"genre_scores_gemma":[0.9960226,0.00003806357,0.001669965,0.00002902691,0.0002380628,0.00003244296,0.000006594676,0.00004735317,0.001915934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4482141,"threshold_uncertainty_score":0.5258808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008938164233105882,"score_gpt":0.1939630510150736,"score_spread":0.1850248867819677,"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."}}