{"id":"W1992604414","doi":"10.1109/vtcf.2006.101","title":"Spectral Efficiency and User Diversity Gains Through Cooperative Fixed Relays","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Relay; Computer science; Computer network; Software deployment; Wireless; Incentive; Cooperative diversity; Wireless network; Computer security; Diversity (politics); Telecommunications","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":[0.0009142529,0.0006505715,0.0004200884,0.0005958266,0.0003764119,0.001103159,0.0007029508,0.0007536537,0.002158229],"category_scores_gemma":[0.003775067,0.0002480498,0.0003178992,0.0008706051,0.001544234,0.0009297928,0.000870937,0.0004570475,0.0003705489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008999389,"about_ca_system_score_gemma":0.0005201996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008353533,"about_ca_topic_score_gemma":0.0007765264,"domain_scores_codex":[0.9993099,0.0002364979,0.00001270654,0.00008463449,0.0001976862,0.0001586428],"domain_scores_gemma":[0.9979634,0.001373259,0.0001429156,0.0002634298,0.0002019707,0.00005499877],"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":[0.001537561,0.0002110793,0.00246785,0.0001751679,0.0001454179,0.000644503,0.0006996667,0.5881442,0.06924971,0.2308559,0.001846991,0.1040219],"study_design_scores_gemma":[0.0001894082,0.0005988826,0.002362164,0.00006217368,0.0001217957,0.0008973213,0.0002795222,0.839078,0.03536486,0.116502,0.004467615,0.00007623122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5658654,0.002040013,0.363269,0.0006169694,0.00005695213,0.00005168965,0.00009503104,0.0003397003,0.06766533],"genre_scores_gemma":[0.9922249,0.0002494954,0.006071127,0.0000271352,0.00001231179,0.00001314051,0.000009894989,0.00001110075,0.001380807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002158229,"threshold_uncertainty_score":0.00721997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402347925261589,"score_gpt":0.2591022634570504,"score_spread":0.2250787842044345,"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."}}