{"id":"W2168723448","doi":"10.4236/ijcns.2014.710042","title":"Network Coding and Quality of Service for Mobile <i>Ad Hoc</i> Networks","year":2014,"lang":"en","type":"article","venue":"International Journal of Communications Network and System Sciences","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eion (Canada); Carleton University","funders":"","keywords":"Computer network; Computer science; Linear network coding; Mobile ad hoc network; Bottleneck; Network packet; Wireless ad hoc network; Routing protocol; Packet forwarding; Distributed computing; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139689,0.0003724374,0.0003449408,0.0009668363,0.0004250768,0.001276808,0.0006788724,0.0006423735,0.001915662],"category_scores_gemma":[0.007540864,0.0001255996,0.0001521416,0.001887593,0.0009933709,0.001606679,0.0006883728,0.0006426867,0.0003210191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001466823,"about_ca_system_score_gemma":0.001318515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003760393,"about_ca_topic_score_gemma":0.003307268,"domain_scores_codex":[0.9989952,0.000342296,0.00003783049,0.00006640211,0.0004565442,0.0001016409],"domain_scores_gemma":[0.9961618,0.002051619,0.0004046269,0.0003076425,0.000997319,0.0000770136],"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":[0.0002496682,0.00009607618,0.003336126,0.0003666215,0.0000468224,0.000254362,0.0003206657,0.3909392,0.01421171,0.2902249,0.007965914,0.2919879],"study_design_scores_gemma":[0.00002117541,0.00024834,0.00122794,0.00009878942,0.00002326529,0.0002149263,0.0001695445,0.9050709,0.005242033,0.07365519,0.01399181,0.00003604166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07798395,0.00959741,0.8795719,0.00211181,0.0004001021,0.0001475657,0.0001901234,0.0005050048,0.02949224],"genre_scores_gemma":[0.9187344,0.005076307,0.07171245,0.0002154329,0.0001617505,0.000154037,0.0001861224,0.00005046814,0.003709026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003760393,"threshold_uncertainty_score":0.01064259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212647829647479,"score_gpt":0.3668753751277073,"score_spread":0.2456105921629595,"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."}}