{"id":"W2014724511","doi":"10.1109/icc.2014.6884184","title":"Analysis on two-cell shared relay networks with linear receivers","year":2014,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Relay; Telecommunications link; Base station; Ergodic theory; Computer science; Wireless; Computer network; Relay channel; Outage probability; Dual (grammatical number); Topology (electrical circuits); Telecommunications; Decoding methods; Electrical engineering; Mathematics; Engineering; Fading; Physics; Power (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":[0.001225963,0.001324059,0.001208705,0.0008270965,0.000543714,0.001519044,0.001485512,0.001137202,0.003827548],"category_scores_gemma":[0.004308444,0.0005541072,0.0006136064,0.001212511,0.001459775,0.001649029,0.001397002,0.0007884173,0.0005606127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080712,"about_ca_system_score_gemma":0.0007504369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633579,"about_ca_topic_score_gemma":0.004897106,"domain_scores_codex":[0.9991986,0.0002514902,0.00001593796,0.0000898996,0.0001809071,0.0002631417],"domain_scores_gemma":[0.9971187,0.001779229,0.000282778,0.0001131773,0.0005880058,0.0001181488],"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":[0.00007752166,0.00001983955,0.0004385267,0.00008240813,0.00004695361,0.0003213511,0.00008273074,0.9680687,0.002071544,0.02440499,0.0009673368,0.003418241],"study_design_scores_gemma":[0.000006054974,0.00002165823,0.0001541772,0.000007298352,0.00001307736,0.00005903369,0.00003684358,0.9954602,0.0002176994,0.003801776,0.0002130187,0.000009053731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2590011,0.004794307,0.6963108,0.00113851,0.0001540495,0.0001028884,0.0006096021,0.0003690649,0.03751973],"genre_scores_gemma":[0.98261,0.001313226,0.007332059,0.0001126979,0.00008795953,0.00006415941,0.0001299318,0.00004965275,0.008300107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007633579,"threshold_uncertainty_score":0.01517826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886336445150008,"score_gpt":0.2510204013027303,"score_spread":0.2321570368512303,"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."}}