{"id":"W6982115225","doi":"","title":"Half- and full-duplex amplify-and-forward single-relay systems: Achievable rates, power allocations and code designs","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Caribbean history, culture, and politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Akron; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Relay; Rayleigh fading; Channel (broadcasting); Node (physics); Relay channel; Channel state information; Transmission (telecommunications); Fading; Power (physics); Channel capacity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001556402,0.000990632,0.0006846661,0.0006175331,0.0003691875,0.001673123,0.0009090023,0.001148166,0.001438389],"category_scores_gemma":[0.003497313,0.0004639688,0.0004854975,0.0008180166,0.001212476,0.001368872,0.0008386325,0.000949133,0.0006550064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008611837,"about_ca_system_score_gemma":0.0008831582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000842968,"about_ca_topic_score_gemma":0.0006928754,"domain_scores_codex":[0.9990275,0.0003998007,0.00005031671,0.0001320182,0.0003101048,0.00008033774],"domain_scores_gemma":[0.9983569,0.0009495877,0.0002180038,0.0001640389,0.0002827756,0.0000286527],"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":[0.00009051148,0.00008241533,0.0006552926,0.000450665,0.00007650538,0.0001642503,0.000382449,0.5655807,0.02238275,0.3211418,0.001657222,0.08733544],"study_design_scores_gemma":[0.00001216223,0.0001055032,0.0002261661,0.00006664883,0.00001997559,0.0001773893,0.00006144407,0.9379858,0.008204564,0.05040484,0.002702481,0.00003303377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02093356,0.002744947,0.9675547,0.0001730075,0.00002930643,0.00005688752,0.00008341795,0.0001344526,0.008289671],"genre_scores_gemma":[0.7490425,0.007458589,0.2381008,0.00009404956,0.0001274331,0.0003878714,0.0001550281,0.00006237669,0.004571437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001673123,"threshold_uncertainty_score":0.008231103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245392658094452,"score_gpt":0.2767651553333665,"score_spread":0.244311228752422,"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."}}