{"id":"W2172080133","doi":"10.1109/vetecf.2007.250","title":"Optimum Power Allocation for Fading Relay Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Computer science; Transmitter power output; Broadcasting (networking); Transmission (telecommunications); Fading; MIMO; Power (physics); Key (lock); Relay channel; Computer network; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting); Transmitter","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":[0.0009434094,0.0009156787,0.001028823,0.0004470271,0.0003264199,0.001015372,0.0006946824,0.0007141607,0.001477126],"category_scores_gemma":[0.002486385,0.0004424356,0.0003314214,0.0009059125,0.001230632,0.001162242,0.0007467282,0.0004963424,0.0004883524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008250917,"about_ca_system_score_gemma":0.0006195401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005490038,"about_ca_topic_score_gemma":0.0006929777,"domain_scores_codex":[0.9990625,0.0004585862,0.00003296928,0.0001376708,0.0001837215,0.0001245698],"domain_scores_gemma":[0.9992982,0.0004419272,0.00007937468,0.00008447594,0.00007519611,0.00002086603],"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":[0.00007927809,0.00002451519,0.0001498914,0.00007419458,0.00003452445,0.00006948425,0.00006100507,0.9086307,0.005270172,0.05646221,0.0007180528,0.02842586],"study_design_scores_gemma":[0.00003030742,0.0000502092,0.0001401234,0.00001246868,0.00001554712,0.00007153924,0.00002600768,0.9289618,0.0020843,0.06711694,0.001474715,0.00001623103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01404345,0.0005569365,0.9817784,0.00008885958,0.00001608773,0.00002538023,0.00003340389,0.00009363297,0.003363866],"genre_scores_gemma":[0.8609668,0.001476311,0.1338241,0.00009002997,0.00006971343,0.0001278313,0.00005809236,0.00007786899,0.003309394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001477126,"threshold_uncertainty_score":0.005986512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624387971234087,"score_gpt":0.2892722492453604,"score_spread":0.2530283695330195,"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."}}