{"id":"W3106319199","doi":"","title":"Voice Service Support in Mobile Ad Hoc Networks","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Computer science; Jitter; Computer network; Mobile ad hoc network; Wireless ad hoc network; Reservation; Mobile computing; Quality of service; Adaptive quality of service multi-hop routing; Optimized Link State Routing Protocol; Real-time computing; Telecommunications; Wireless; Network packet; Routing protocol","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008709425,0.000419041,0.0005201339,0.0001216452,0.00006178547,0.0003553409,0.002650594,0.0006310832,0.0003089787],"category_scores_gemma":[0.000003946273,0.000382976,0.00013297,0.0005452908,0.00002123518,0.0004044893,0.004034513,0.001203693,0.0003518765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009235153,"about_ca_system_score_gemma":0.0002178881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008918373,"about_ca_topic_score_gemma":0.0006306844,"domain_scores_codex":[0.9972496,0.00015964,0.0005542265,0.0008594715,0.0003424583,0.0008346074],"domain_scores_gemma":[0.9975455,0.000131629,0.0002363757,0.001719153,0.0001253081,0.0002420654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004085759,0.0004722893,0.003803171,0.0005431996,0.00007002177,0.00008495346,0.002158994,0.2537046,0.000006870946,0.004220373,0.03301141,0.7018833],"study_design_scores_gemma":[0.0005550779,0.00009494962,0.00442265,0.0003339252,0.00001255386,0.00001926561,0.00002397155,0.4406728,0.00003358584,0.002198557,0.550511,0.001121662],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003514489,0.01147404,0.9216654,0.001786786,0.004674152,0.02633933,0.00001201065,0.001104253,0.02942959],"genre_scores_gemma":[0.6015576,0.006865141,0.2048489,0.02380239,0.006519499,0.1434497,0.0003962047,0.0003681646,0.01219246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7168164,"threshold_uncertainty_score":0.9998622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482960195332992,"score_gpt":0.2821548371898406,"score_spread":0.2573252352365107,"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."}}