{"id":"W2291578564","doi":"10.1109/acssc.2015.7421244","title":"Jointly optimal pre- and post-channel equalization and network beamforming in asynchronous two-way relay networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Relay; Transceiver; Beamforming; Computer science; Asynchronous communication; Equalization (audio); Channel (broadcasting); Relay channel; Interference (communication); Antenna (radio); Intersymbol interference; Transmitter power output; Electronic engineering; Power (physics); Computer network; Telecommunications; Transmitter; Engineering; Wireless","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":[0.0009689591,0.0009749992,0.00082822,0.0002552738,0.0002940679,0.0007347468,0.0005823675,0.0009547248,0.0009852373],"category_scores_gemma":[0.003088959,0.0004132722,0.0002627734,0.0005259665,0.000887276,0.0009545503,0.0007847411,0.0004964233,0.0003496252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005388642,"about_ca_system_score_gemma":0.0006697489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296291,"about_ca_topic_score_gemma":0.001678974,"domain_scores_codex":[0.9994023,0.0002975193,0.00002531646,0.00009364227,0.0001124757,0.00006883269],"domain_scores_gemma":[0.9988931,0.0007989509,0.0001124188,0.00004949965,0.0001157713,0.00003039591],"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":[0.00005720485,0.00002418745,0.0001771237,0.00005068832,0.00001206584,0.00007661434,0.00003993752,0.9702602,0.004089816,0.01230111,0.0002407778,0.01267021],"study_design_scores_gemma":[0.00001286525,0.0000335184,0.00005961862,0.000004245287,0.000005011978,0.00001893183,0.0000111587,0.9944786,0.0009549264,0.00429468,0.0001207825,0.000005573384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02904687,0.000170852,0.9685506,0.0001093997,0.00001156781,0.00003096541,0.0000381542,0.00007501856,0.001966666],"genre_scores_gemma":[0.8823178,0.0004435254,0.1141056,0.00005306317,0.00002555057,0.0001626748,0.00005078973,0.00002775952,0.002813303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001296291,"threshold_uncertainty_score":0.00512445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02989437878461022,"score_gpt":0.2753070912255893,"score_spread":0.2454127124409791,"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."}}