{"id":"W2007083670","doi":"10.1155/2008/950951","title":"Theory and Applications in Multiuser/Multiterminal Communications","year":2008,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Web application; World Wide Web","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":[0.001329379,0.0002186811,0.0002734592,0.0002993615,0.002438912,0.0002469259,0.002796199,0.00007807081,0.000003560463],"category_scores_gemma":[0.00003321578,0.0002050864,0.00005807091,0.0006982948,0.0005101206,0.0004945289,0.001687413,0.0009994158,0.000005518519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006887003,"about_ca_system_score_gemma":0.00006629935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004590458,"about_ca_topic_score_gemma":0.00007314136,"domain_scores_codex":[0.9974836,0.001217186,0.0005455593,0.0002793102,0.0001760859,0.0002982692],"domain_scores_gemma":[0.9948315,0.001917501,0.0002673585,0.002653257,0.0001466807,0.0001836934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001897202,0.0003278123,0.02515767,0.000006891722,0.00003436951,0.00000987093,0.004186281,0.00004484555,0.0001912049,0.3139142,0.00008862252,0.6560193],"study_design_scores_gemma":[0.003287221,0.000339598,0.1216231,0.001105808,0.00004701649,0.001981894,0.001014396,0.4635027,0.0000730652,0.01212841,0.3933505,0.001546322],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3324953,0.1527282,0.4798744,0.0159884,0.0005600318,0.002033257,0.00001028827,0.0005865968,0.01572357],"genre_scores_gemma":[0.8270141,0.1604908,0.01181306,0.0004480455,0.00007789382,0.00006342361,0.000007137879,0.00001597901,0.00006955199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6544729,"threshold_uncertainty_score":0.9988598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06690800020567274,"score_gpt":0.3135470046189373,"score_spread":0.2466390044132646,"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."}}