{"id":"W2080390426","doi":"10.1109/icce.2012.6161833","title":"Destination cooperation in interference channels","year":2012,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; MIMO; Diversity gain; Cooperative MIMO; Computer network; Exploit; Coding (social sciences); Cooperative diversity; Channel (broadcasting); Antenna diversity; Interference (communication); Baseline (sea); Node (physics); Single antenna interference cancellation; Electronic engineering; Wireless; Telecommunications; Multi-user MIMO; Fading; Engineering; Computer security; Mathematics","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":[0.0003331436,0.00004867036,0.00004795922,0.00007566952,0.0000538372,0.0000740345,0.0003265603,0.00001877942,0.00005198674],"category_scores_gemma":[0.00005532389,0.00004366825,0.000008506141,0.0003619212,0.000009346454,0.0008966171,0.0001587928,0.00006776013,0.00007846191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003634367,"about_ca_system_score_gemma":0.00001347408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003378277,"about_ca_topic_score_gemma":0.00002976411,"domain_scores_codex":[0.9995244,0.00008646213,0.0001134683,0.00008713979,0.00005320883,0.0001353111],"domain_scores_gemma":[0.9996045,0.0000491818,0.00002068053,0.0002268823,0.00006036454,0.00003840259],"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":[0.000001186223,0.00008501103,0.005960505,0.000001762996,0.000001319374,2.262962e-7,0.002235122,0.0001828448,0.002369729,0.818162,0.0004729781,0.1705274],"study_design_scores_gemma":[0.0005422276,0.00007328519,0.04716557,0.00007040179,0.000001376273,0.00001087338,0.00006723848,0.9260111,0.01541034,0.001088353,0.009164062,0.000395155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03512125,0.0002111146,0.9507181,0.0009567254,0.0002536685,0.0000848534,3.461579e-8,0.00008221273,0.01257203],"genre_scores_gemma":[0.9886421,0.00007764262,0.01053649,0.0003281214,0.00003451336,0.00001518964,0.000001476045,0.000001873817,0.0003625742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9535209,"threshold_uncertainty_score":0.1780739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068810932191383,"score_gpt":0.3033414495445049,"score_spread":0.2345305173531219,"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."}}