{"id":"W2611894512","doi":"10.1109/access.2017.2699967","title":"Power Allocation in an RF Energy Harvesting DF Relay Network in the Presence of an Interferer","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Throughput; Computer network; Node (physics); Channel state information; Wireless; Transmission (telecommunications); Channel (broadcasting); Relay channel; Power (physics); Energy harvesting; Wireless network; Telecommunications; Engineering","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":[0.001363279,0.0005938997,0.0009736032,0.0003664243,0.0005744844,0.0008864825,0.001059269,0.0009994693,0.0005871824],"category_scores_gemma":[0.00257912,0.0003326074,0.0004664989,0.0006083458,0.001103511,0.001640797,0.00083413,0.0004548264,0.0001213303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235286,"about_ca_system_score_gemma":0.000379505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001554717,"about_ca_topic_score_gemma":0.001259998,"domain_scores_codex":[0.9992691,0.0003007725,0.00002943791,0.0001711503,0.0001160696,0.0001135909],"domain_scores_gemma":[0.9985704,0.0009579406,0.0002089159,0.0000865053,0.0001358822,0.00004032046],"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":[0.0001750621,0.00003568951,0.0008045391,0.00006744268,0.00006417462,0.0005590013,0.000153771,0.9691152,0.0080753,0.01139502,0.0002165067,0.009338328],"study_design_scores_gemma":[0.00001105748,0.00005779161,0.0001610971,0.000003207577,0.0000199894,0.0001094137,0.00004347707,0.9954576,0.0008272363,0.003162925,0.0001394537,0.000006584917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2159612,0.0008425781,0.7800899,0.0002492181,0.00003127311,0.00002970525,0.00003590269,0.00008646871,0.002673793],"genre_scores_gemma":[0.9880303,0.0002085272,0.01074038,0.00002822319,0.00001424703,0.00002085351,0.000008905382,0.000008141365,0.0009404371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001554717,"threshold_uncertainty_score":0.007209778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02757371660978548,"score_gpt":0.2885434597411728,"score_spread":0.2609697431313874,"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."}}