{"id":"W2393306784","doi":"","title":"Research of End-to-End QoS in Heterogeneous Tactical Network","year":2011,"lang":"en","type":"article","venue":"","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Newborn Screening Ontario","funders":"","keywords":"Computer science; Quality of service; Computer network; End-to-end principle; Heterogeneous network; Next-generation network; Mobile QoS; Wireless network; Bandwidth (computing); Key (lock); Distributed computing; Wireless; Telecommunications; Service (business); The Internet; Computer security; Service provider","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":[0.0009174577,0.0003508837,0.0003554383,0.0004634601,0.0003938988,0.001340747,0.000736058,0.0006297061,0.0005832913],"category_scores_gemma":[0.002097095,0.0001830801,0.0002486982,0.0008276196,0.0005608008,0.002832605,0.0003468796,0.0008003459,0.0001563369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117168,"about_ca_system_score_gemma":0.0005621735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300488,"about_ca_topic_score_gemma":0.0007164635,"domain_scores_codex":[0.9994772,0.0001411377,0.00002349882,0.0001014547,0.0001918351,0.0000649705],"domain_scores_gemma":[0.9993617,0.000276021,0.00005141418,0.00005359582,0.0002218401,0.00003546291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001278479,0.0001147884,0.003262179,0.0004009836,0.00007230491,0.0004612551,0.0004396098,0.3213935,0.02062944,0.5069566,0.003250808,0.1428908],"study_design_scores_gemma":[0.000007659123,0.00006396701,0.0008386698,0.00004161869,0.000018273,0.0001267834,0.0001576868,0.9253514,0.004305352,0.06005934,0.009010293,0.00001902383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07159276,0.01950001,0.8850448,0.001834042,0.0004411194,0.00004957468,0.00006832634,0.0001346913,0.02133469],"genre_scores_gemma":[0.9114657,0.02631123,0.05648407,0.0002256889,0.0006229324,0.00005812732,0.000123938,0.00003160623,0.004676765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002300488,"threshold_uncertainty_score":0.008501172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514389109846039,"score_gpt":0.3601801115271224,"score_spread":0.2087412005425186,"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."}}