{"id":"W2093260576","doi":"10.1109/wd.2011.6098184","title":"Differentiated services architecture for QoS provisioning in Wireless Multimedia Sensor Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Quality of service; Differentiated services; Provisioning; Bandwidth (computing); Wireless; Architecture; Bandwidth allocation; Wireless sensor network; Distributed computing; 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":[0.001558411,0.0004714522,0.0004365495,0.000559776,0.0006112407,0.001392406,0.001540551,0.0009308893,0.001008306],"category_scores_gemma":[0.001812347,0.0002511094,0.0003102829,0.0007436104,0.0005680467,0.001115611,0.0009615106,0.001185704,0.0004626496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576538,"about_ca_system_score_gemma":0.001056962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956875,"about_ca_topic_score_gemma":0.002282839,"domain_scores_codex":[0.9992211,0.0002038111,0.0000666971,0.00006360041,0.0003811195,0.00006363754],"domain_scores_gemma":[0.9993808,0.0001356176,0.00004965799,0.00009285662,0.000292961,0.00004804455],"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":[0.0005056082,0.0001866378,0.001206168,0.0009110079,0.0001434396,0.0007665491,0.0009079023,0.1261729,0.08999009,0.4570538,0.01264042,0.3095157],"study_design_scores_gemma":[0.00008078877,0.0002942891,0.0006339209,0.0001729114,0.0001071672,0.0005107766,0.0002027753,0.7961133,0.02679671,0.08350486,0.0915088,0.00007372778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02572386,0.008197899,0.9518677,0.001143967,0.0004807565,0.0002639136,0.0001260839,0.001058214,0.01113756],"genre_scores_gemma":[0.6057128,0.006193044,0.3787644,0.0007773586,0.0002742958,0.0004387053,0.0005408692,0.0001323617,0.007166047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001956875,"threshold_uncertainty_score":0.01143867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380636756423918,"score_gpt":0.2121355170226176,"score_spread":0.1983291494583784,"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."}}