{"id":"W1970974668","doi":"10.1049/iet-com.2010.1033","title":"Average capacity performance of opportunistic relay selection with outdated CSI","year":2011,"lang":"en","type":"article","venue":"IET Communications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Relay; Relay channel; Computer science; Selection (genetic algorithm); Channel state information; Link Access Procedure for Frame Relay; Computer network; Channel (broadcasting); Terminal (telecommunication); Outage probability; Telecommunications; Wireless; Artificial intelligence; Fading; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003339183,0.0001121193,0.0001456756,0.0001000283,0.0004230937,0.00003287451,0.002242073,0.00004387385,0.00005181342],"category_scores_gemma":[0.00003532967,0.0001014617,0.00003288504,0.0007054533,0.0001999762,0.0004413648,0.0005533842,0.0002770569,0.00002379018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215616,"about_ca_system_score_gemma":0.0001005773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003837496,"about_ca_topic_score_gemma":0.0001765146,"domain_scores_codex":[0.9990203,0.0002430155,0.0002810406,0.0001674058,0.000136139,0.0001520888],"domain_scores_gemma":[0.996769,0.0001066966,0.0001883222,0.002491119,0.0003751216,0.00006977077],"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":[0.00007166862,0.001335718,0.04069057,0.00005654829,0.0002095541,0.000001788329,0.01923177,0.000768555,0.007266552,0.8662114,0.001315453,0.06284038],"study_design_scores_gemma":[0.0008953155,0.0006865259,0.08085858,0.0002362597,0.00004293282,0.00006587386,0.0001066578,0.885497,0.006082155,0.0005026558,0.02437259,0.0006534809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2911235,0.0004161309,0.6100188,0.00171883,0.0001568809,0.000646411,0.00001346241,0.0006124874,0.0952935],"genre_scores_gemma":[0.9105772,0.001077643,0.08795154,0.0001001676,0.000005845328,0.00003412367,0.00001546086,0.000008115944,0.0002298717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8847284,"threshold_uncertainty_score":0.4166366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392874614283819,"score_gpt":0.2674704240003644,"score_spread":0.1281829625719824,"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."}}