{"id":"W2113249692","doi":"10.1109/twc.2008.030327","title":"Cooperative Diversity in Interference Limited Wireless Networks","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relay; Decodes; Computer network; Computer science; Node (physics); Wireless network; Interference (communication); Asynchronous communication; Diversity gain; Wireless; Cooperative diversity; Throughput; Decoding methods; Power (physics); Telecommunications; Fading; Channel (broadcasting); Engineering","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002916159,0.000271495,0.0003226295,0.0003620173,0.002339439,0.00009143288,0.004162232,0.0001343212,0.00003707545],"category_scores_gemma":[0.000009083852,0.0002926039,0.0001178603,0.001804303,0.0004179311,0.000706367,0.0002323646,0.001056978,0.0000525062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201357,"about_ca_system_score_gemma":0.0001247863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009591108,"about_ca_topic_score_gemma":0.001746784,"domain_scores_codex":[0.9977847,0.0007085411,0.0004649183,0.0004435354,0.0002338251,0.0003645058],"domain_scores_gemma":[0.9955744,0.0006624567,0.0001245529,0.003189124,0.00030156,0.0001478714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002366533,0.007668062,0.00565338,0.00003138257,0.0004091334,0.00007616364,0.04462922,0.1909034,0.002861608,0.1382547,0.001900913,0.6073753],"study_design_scores_gemma":[0.0009410306,0.0001298137,0.003521055,0.0001531319,0.00001171038,0.00003243793,0.0001567068,0.9922959,0.0015968,0.00008099966,0.0005668367,0.0005135333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05611016,0.0002725459,0.9392399,0.001959948,0.0002425774,0.0003486413,0.000007435305,0.0002994653,0.001519288],"genre_scores_gemma":[0.984275,0.01177141,0.002909835,0.0005648726,0.00001205537,0.0001359258,0.000009408697,0.00001735772,0.0003040942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9363301,"threshold_uncertainty_score":0.9999526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08408753970415885,"score_gpt":0.283523059503642,"score_spread":0.1994355197994832,"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."}}