{"id":"W1742573363","doi":"10.1002/dac.2576","title":"Optimal power‐aware relay placement for cooperative wireless sensor networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Relay; Computer science; Cooperative diversity; Computer network; Wireless sensor network; Wireless; Wireless network; Power (physics); Hop (telecommunications); Telecommunications","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":[0.001209919,0.0008991606,0.000788758,0.0004021864,0.0003092861,0.0006986274,0.0006488916,0.0007434602,0.0006336666],"category_scores_gemma":[0.00308511,0.0003944893,0.0003705969,0.0006046019,0.000827831,0.0009083326,0.0009107743,0.000446787,0.0001918798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008357287,"about_ca_system_score_gemma":0.0005199921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008840005,"about_ca_topic_score_gemma":0.0008171448,"domain_scores_codex":[0.9994565,0.0002835804,0.00001932395,0.0000831244,0.000109268,0.00004830188],"domain_scores_gemma":[0.9990062,0.000630186,0.0001390137,0.00007079744,0.0001248856,0.00002897795],"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":[0.00002131896,0.00001149471,0.0001503885,0.00003155935,0.00001366322,0.00005439878,0.000035799,0.9838162,0.002340391,0.007282735,0.0002362714,0.006005771],"study_design_scores_gemma":[0.000005003418,0.00002418947,0.00005530128,0.000003645577,0.000005427845,0.00001795534,0.00001245117,0.9916219,0.0006633312,0.007409822,0.0001773072,0.000003708012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04656237,0.0004828947,0.9497705,0.0001987561,0.00001997795,0.000036312,0.00003304619,0.000083231,0.002812853],"genre_scores_gemma":[0.9507027,0.000553917,0.0469785,0.0000462445,0.00002746478,0.00008211732,0.00003293741,0.00003453971,0.001541631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001209919,"threshold_uncertainty_score":0.006398737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303179635987666,"score_gpt":0.3023736404099393,"score_spread":0.2720556768111727,"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."}}