{"id":"W1982889676","doi":"10.1007/s11277-009-9911-0","title":"Diversity Analysis of Relay Selection Schemes for Two-Way Wireless Relay Networks","year":2010,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Saskatchewan","funders":"","keywords":"Relay; Computer science; Relay channel; Cooperative diversity; Wireless network; Computer network; Fading; Wireless; Selection (genetic algorithm); Diversity combining; Channel (broadcasting); Telecommunications; Artificial intelligence; Power (physics)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008930651,0.0002092009,0.0004109855,0.0003940716,0.002805674,0.00009208643,0.003568798,0.0001443654,0.00003966725],"category_scores_gemma":[0.00008063834,0.000222112,0.0003465782,0.002586252,0.0003250517,0.0004568988,0.003260893,0.0007447184,0.000003907852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000745411,"about_ca_system_score_gemma":0.00009868648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009432115,"about_ca_topic_score_gemma":0.003455201,"domain_scores_codex":[0.9982723,0.000301015,0.0004414566,0.0003953398,0.0002820592,0.000307827],"domain_scores_gemma":[0.9955884,0.0009362634,0.0003404769,0.002241103,0.0007639694,0.0001298414],"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":[0.00005989341,0.0007868737,0.04700318,0.00002512123,0.001794636,5.289516e-7,0.009804593,0.005641812,0.01855632,0.7993057,0.0008551123,0.1161662],"study_design_scores_gemma":[0.0004175128,0.00003883598,0.01026815,0.00002011143,0.0002442452,0.000002570945,0.00009724518,0.9833987,0.0004393451,0.00006401796,0.004758266,0.000251045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4108151,0.0004496302,0.5850703,0.002158891,0.0001873919,0.0003494864,0.00001947555,0.0001914357,0.0007582599],"genre_scores_gemma":[0.9691439,0.0006545137,0.02956845,0.0001855032,0.00004736273,0.00008649241,0.00009460618,0.00001498469,0.0002042313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9777569,"threshold_uncertainty_score":0.9984925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04435030177000975,"score_gpt":0.3079460635567898,"score_spread":0.26359576178678,"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."}}