{"id":"W2203905818","doi":"10.1145/2725469","title":"QuGu","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Computer network; Interleaving; Packet loss; Network packet; Retransmission; Wireless ad hoc network; Video quality; Broadcasting (networking); Vehicular ad hoc network; Routing protocol; Router; Real-time computing; Wireless; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004707401,0.0001920435,0.0001841842,0.0002011547,0.001044315,0.0002043979,0.003242076,0.00007476613,0.000007871678],"category_scores_gemma":[0.00005985876,0.0001988223,0.00006315672,0.0008789049,0.0002245889,0.0002883624,0.0003523087,0.000428612,0.0001309665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007095936,"about_ca_system_score_gemma":0.0001104248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001653006,"about_ca_topic_score_gemma":0.00003418698,"domain_scores_codex":[0.9985842,0.0002199213,0.0003619907,0.0003886564,0.0002036846,0.0002416202],"domain_scores_gemma":[0.9939844,0.0008040851,0.0001160025,0.004512379,0.0002944218,0.0002887332],"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":[0.000002008504,0.0002652082,0.00006467834,0.000003124241,0.00002330198,1.97586e-7,0.001091742,0.0004000551,0.000127307,0.03470119,0.000223698,0.9630975],"study_design_scores_gemma":[0.00114955,0.0001275732,0.0006830698,0.00005559353,0.00003123212,0.00003494573,0.0004484159,0.703863,0.0003500673,0.007574841,0.2851107,0.0005709531],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003437281,0.001063327,0.9861153,0.008605232,0.0000853709,0.0004662019,0.000006062984,0.0004720436,0.002842739],"genre_scores_gemma":[0.6028732,0.001611312,0.3945687,0.0005267975,0.00003933918,0.0002059103,0.00001658796,0.00001422551,0.0001438788],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9625266,"threshold_uncertainty_score":0.8107737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0800176322452445,"score_gpt":0.3269377814079131,"score_spread":0.2469201491626686,"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."}}