{"id":"W2153722101","doi":"10.1109/lcomm.2007.070097","title":"Outage Probability of Selection Cooperation in the Low to Medium SNR Regime","year":2007,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Outage probability; Signal-to-noise ratio (imaging); Selection (genetic algorithm); Computer science; Diversity combining; Maximal-ratio combining; Channel (broadcasting); Diversity gain; Diversity (politics); Mathematical optimization; Algorithm; Statistics; Applied mathematics; Mathematics; Telecommunications; Fading; Artificial intelligence","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":[0.002804728,0.0004443751,0.0008240608,0.000612714,0.0005378046,0.0009142564,0.0006494636,0.0009602183,0.001765602],"category_scores_gemma":[0.01512381,0.0002702562,0.0003144713,0.0007864659,0.00268532,0.001371599,0.001054333,0.0008832041,0.0003336743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057704,"about_ca_system_score_gemma":0.0007900948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190258,"about_ca_topic_score_gemma":0.0009042275,"domain_scores_codex":[0.998621,0.0005111248,0.00004687231,0.0001326219,0.0004043311,0.0002841159],"domain_scores_gemma":[0.9859625,0.01141646,0.0009825479,0.0006378494,0.0007472293,0.0002534529],"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":[0.0004994794,0.00005957311,0.009407386,0.0001553141,0.00005018943,0.0007330579,0.0005073794,0.8728677,0.005745098,0.09788826,0.001751757,0.0103348],"study_design_scores_gemma":[0.00004787748,0.0001133693,0.005415282,0.00005904912,0.00003776211,0.0007682316,0.0002209959,0.9451264,0.00498743,0.04234108,0.0008302295,0.00005238112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6501309,0.001660698,0.3188964,0.001267492,0.00005925054,0.00003864038,0.0004982449,0.00066577,0.02678251],"genre_scores_gemma":[0.9961913,0.0002563896,0.002637257,0.00005839022,0.00001917528,0.0000161607,0.00008037222,0.00002096222,0.0007201417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002804728,"threshold_uncertainty_score":0.01483297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05252143764932973,"score_gpt":0.3080261926892231,"score_spread":0.2555047550398934,"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."}}