{"id":"W2020139201","doi":"10.1109/twc.2014.022714.131351","title":"Impact of Propagation Environment on Energy-Efficient Relay Placement: Model and Performance Analysis","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Relay; Telecommunications link; Relay channel; Computer science; Linear network coding; Efficient energy use; Coding (social sciences); Energy (signal processing); Node (physics); Computer network; Power (physics); Electronic engineering; Electrical engineering; Engineering; Mathematics; Statistics; Physics","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":[0.001141054,0.001295068,0.00104945,0.0006870624,0.0004884637,0.001204687,0.001055256,0.00137927,0.001099426],"category_scores_gemma":[0.004809148,0.0005099251,0.0005820059,0.001010651,0.001527893,0.001471305,0.0009338337,0.0008578896,0.000379123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759186,"about_ca_system_score_gemma":0.0007278239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005521242,"about_ca_topic_score_gemma":0.003717249,"domain_scores_codex":[0.9992532,0.0002780936,0.00001787081,0.00009930324,0.0001826271,0.0001689022],"domain_scores_gemma":[0.9976342,0.001592089,0.0003614157,0.0001345403,0.000237705,0.00004001689],"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":[0.00002058856,0.000009977076,0.0002218,0.00001520139,0.000005262707,0.00005316215,0.00001718479,0.9940878,0.001376504,0.003132781,0.0001050214,0.0009546504],"study_design_scores_gemma":[0.000003574323,0.00002883019,0.0001425003,0.0000041687,0.000009042048,0.0000384961,0.00001235013,0.9978849,0.0007263142,0.001054077,0.00008863351,0.000006974478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2900859,0.002310666,0.6846175,0.00091955,0.00005312072,0.0001409661,0.0004928011,0.0005777514,0.02080186],"genre_scores_gemma":[0.9836336,0.001213232,0.01274773,0.00005532378,0.00002990463,0.00006961302,0.0000865869,0.00005692008,0.002107091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005521242,"threshold_uncertainty_score":0.01276386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860196114985191,"score_gpt":0.2641265906605952,"score_spread":0.2355246295107433,"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."}}