{"id":"W1977329051","doi":"10.1080/17445760.2012.660485","title":"Transmission rate enhancement via adaptive relaying in wireless networks","year":2012,"lang":"en","type":"article","venue":"International Journal of Parallel Emergent and Distributed Systems","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fading; Transmission (telecommunications); Computer science; Wireless; Computer network; Channel (broadcasting); Constraint (computer-aided design); Link adaptation; Transmission rate; Wireless network; Energy (signal processing); Electronic engineering; Telecommunications; Engineering; Mathematics; Statistics","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":[0.000920856,0.0001167234,0.0001957784,0.0001228835,0.00007079836,0.00008154607,0.0005662288,0.00004784117,0.00002088455],"category_scores_gemma":[0.00001487305,0.00009742728,0.00006503412,0.00018259,0.00001849725,0.0005810182,0.0001219012,0.0001988493,0.000002975801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133124,"about_ca_system_score_gemma":0.0000298177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118014,"about_ca_topic_score_gemma":0.000003879813,"domain_scores_codex":[0.9985235,0.0002540469,0.0006193709,0.0001097779,0.0002938648,0.000199382],"domain_scores_gemma":[0.9990093,0.00007675135,0.0003395046,0.0001224598,0.0003072521,0.0001447785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001271198,0.002306961,0.08467975,0.00006697458,0.001468713,0.0002276213,0.009436632,0.2837691,0.01947148,0.2515796,0.01345807,0.3322639],"study_design_scores_gemma":[0.00139778,0.0001012102,0.01028721,0.0003455775,0.00001199518,0.00009199978,0.0001946411,0.973084,0.0001541699,0.0001202815,0.01397334,0.000237812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0283439,0.006484069,0.9627388,0.0006251537,0.001565459,0.00009819571,0.000001753224,0.000009096534,0.0001335627],"genre_scores_gemma":[0.994197,0.004355187,0.001112567,0.00004926107,0.0002232149,0.000007753337,0.00001231191,0.000004420005,0.00003834833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.965853,"threshold_uncertainty_score":0.3972969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429700463140622,"score_gpt":0.2877551742185444,"score_spread":0.2534581695871382,"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."}}