{"id":"W2021669325","doi":"10.1145/1089761.1089769","title":"MAC coding for QoS guarantees in multi-hop mobile wireless networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Aloha; Computer network; Linear network coding; Wireless network; Repetition code; Coding (social sciences); Scheduling (production processes); Quality of service; Fountain code; Wireless; Linear code; Theoretical computer science; Throughput; Block code; Distributed computing; Algorithm; Network packet; Decoding methods; Mathematics; Telecommunications; Mathematical optimization","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":[0.0003698522,0.000119603,0.0001591887,0.00008735264,0.0001624319,0.0001271381,0.0008738633,0.00005185952,0.00004314445],"category_scores_gemma":[0.00001737205,0.0001098487,0.0000549797,0.0003591367,0.00002693862,0.0003698794,0.0002886512,0.0001399847,0.00001847352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005872312,"about_ca_system_score_gemma":0.00002406752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005575668,"about_ca_topic_score_gemma":0.0005575244,"domain_scores_codex":[0.9990266,0.00007056188,0.0002616433,0.0002716785,0.00008317265,0.0002863741],"domain_scores_gemma":[0.9990895,0.0002298067,0.00005025047,0.0004952757,0.00008554466,0.00004967209],"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":[0.00001371647,0.0002280973,0.001035586,0.000009731395,0.00001362301,0.000001785445,0.001603049,0.02831154,0.001510642,0.1335037,0.004317201,0.8294513],"study_design_scores_gemma":[0.0006455394,0.00002575719,0.0003687331,0.00003286458,0.000001089396,0.0000017967,0.00004408304,0.9774278,0.0007709088,0.00002212051,0.02050491,0.0001544337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008932484,0.000707279,0.9876572,0.0008899088,0.0001919756,0.0004396446,5.331913e-7,0.0001560349,0.001024894],"genre_scores_gemma":[0.9303023,0.0008973076,0.06673187,0.0008659176,0.0001135852,0.0001765723,0.000003004586,0.000009075539,0.0009003202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9491162,"threshold_uncertainty_score":0.4479499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04998688714729885,"score_gpt":0.3148038054945995,"score_spread":0.2648169183473006,"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."}}