{"id":"W2088880144","doi":"10.1109/infcom.2010.5461995","title":"Throughput Analysis of Multiple Access Relay Channel under Collision Model","year":2010,"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":"University of Toronto","funders":"","keywords":"Computer science; Relay; Throughput; Computer network; Telecommunications link; Channel (broadcasting); Collision; Wireless; Wireless network; Physical layer; Interference (communication); Relay channel; Power (physics); Distributed computing; Telecommunications","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":[0.0002532759,0.00008235329,0.0001789795,0.0002003151,0.0001365069,0.000102701,0.001401046,0.00005319598,0.00004929969],"category_scores_gemma":[0.00004396044,0.0000668791,0.00009460706,0.00159886,0.0000398624,0.0005278178,0.0007921583,0.0001520253,0.000006051706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001162581,"about_ca_system_score_gemma":0.00004120046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002359634,"about_ca_topic_score_gemma":0.001043835,"domain_scores_codex":[0.9992301,0.00004362063,0.0002098976,0.0002270047,0.0001660858,0.0001232593],"domain_scores_gemma":[0.9985127,0.0001659799,0.00008454933,0.000975832,0.000208284,0.00005265802],"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":[0.000005159255,0.0001377747,0.001511441,0.000002684091,0.0001851835,3.137796e-7,0.000869895,0.7453126,0.008400113,0.2374808,0.00116325,0.004930788],"study_design_scores_gemma":[0.0001345492,0.00000723123,0.003806588,0.000002982673,0.00002693789,2.258342e-7,0.00001150759,0.991631,0.003376619,0.0007156435,0.0002001684,0.00008653262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08971708,0.00003700157,0.9043117,0.0009678371,0.0001016592,0.00007640116,0.000001357668,0.00006902051,0.004717978],"genre_scores_gemma":[0.9642888,0.0001472694,0.03450868,0.0004750778,0.00000980242,0.000006921246,0.000004709077,0.000003825201,0.0005549134],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8745717,"threshold_uncertainty_score":0.272725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08623559414940585,"score_gpt":0.3433288704468094,"score_spread":0.2570932762974035,"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."}}