{"id":"W2073996443","doi":"10.1007/s11277-013-1416-1","title":"Optimal Timing at the Relay in OFDM Based Two Way Relay Systems","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Relay; Orthogonal frequency-division multiplexing; Fast Fourier transform; Interference (communication); Relay channel; Cyclic prefix; Noise (video); Power (physics); Telecommunications; Real-time computing; Electronic engineering; Algorithm; Channel (broadcasting)","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":[],"consensus_categories":[],"category_scores_codex":[0.0008641859,0.0002060769,0.0002266108,0.0001406678,0.001289481,0.000361605,0.00430786,0.00007357694,0.000122316],"category_scores_gemma":[0.0000618496,0.0001652037,0.0001005602,0.0008296094,0.0002968117,0.0004961414,0.00197885,0.0006631171,0.000379026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002964347,"about_ca_system_score_gemma":0.0001217233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004230947,"about_ca_topic_score_gemma":0.0008001765,"domain_scores_codex":[0.9975454,0.000989292,0.00045142,0.0003373057,0.0003151689,0.000361439],"domain_scores_gemma":[0.9949203,0.001124245,0.0001746375,0.003423083,0.0002491489,0.0001085598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005168631,0.001630815,0.01780826,0.0001004816,0.0002479311,0.00001650547,0.0469223,0.148262,0.01647171,0.5583333,0.03684871,0.1733063],"study_design_scores_gemma":[0.0004202782,0.00001798096,0.0046282,0.0001082795,0.000005569141,0.0000127048,0.0003483241,0.978562,0.00007060955,0.00001678616,0.01558622,0.0002230781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7259399,0.01698754,0.1178139,0.1059904,0.0005998118,0.002549644,0.0000201116,0.00070075,0.02939796],"genre_scores_gemma":[0.9856319,0.0006808242,0.01091024,0.0007363659,0.00002983187,0.0004816049,0.00003244748,0.00001995587,0.001476815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8303,"threshold_uncertainty_score":0.9917775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06674639525651543,"score_gpt":0.3022721205637734,"score_spread":0.235525725307258,"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."}}