{"id":"W72831219","doi":"10.1016/j.phycom.2009.09.003","title":"Multi-user cooperation schemes with iterative decoding","year":2009,"lang":"en","type":"article","venue":"Physical Communication","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Decoding methods; Relay; Bandwidth (computing); Transmission (telecommunications); Computer network; Telecommunications; Power (physics); Computer engineering","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":[0.003643512,0.002658077,0.002297859,0.001691185,0.001755351,0.002073332,0.002270343,0.002557701,0.002801915],"category_scores_gemma":[0.0105282,0.000911253,0.001410938,0.003045408,0.001893563,0.002556109,0.004818566,0.001544599,0.00177377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225036,"about_ca_system_score_gemma":0.002349413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108595,"about_ca_topic_score_gemma":0.001833723,"domain_scores_codex":[0.9957151,0.001908542,0.0002412529,0.0004215143,0.001162739,0.0005508946],"domain_scores_gemma":[0.9928586,0.003556551,0.0004256275,0.001747611,0.001237953,0.000173632],"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":[0.001243627,0.0002670398,0.001943995,0.0006240769,0.000445918,0.00074589,0.001496871,0.3963817,0.03756419,0.287632,0.007060872,0.2645939],"study_design_scores_gemma":[0.0001231197,0.0003033792,0.0004461017,0.0001080963,0.0001508933,0.0009661852,0.00009951976,0.8681114,0.02158477,0.102236,0.005741842,0.0001287209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01339287,0.0008025871,0.9736776,0.0003523953,0.0001162493,0.0001619405,0.0001165101,0.0004254174,0.01095442],"genre_scores_gemma":[0.593738,0.001032366,0.3905014,0.0004231151,0.0001727033,0.0007956255,0.000246864,0.0001116725,0.01297841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003643512,"threshold_uncertainty_score":0.01926899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04079098655625182,"score_gpt":0.3146391564542892,"score_spread":0.2738481698980375,"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."}}