{"id":"W2166955633","doi":"10.1109/jcn.2011.6157413","title":"IEEE 802.15.6 under saturation: Some problems to be expected","year":2011,"lang":"en","type":"article","venue":"Journal of Communications and Networks","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Manitoba","funders":"","keywords":"Computer science; Markov chain; IEEE 802.15; Distributed coordination function; IEEE 802.11; Wireless; Channel (broadcasting); Body area network; Computer network; Inter-Access Point Protocol; IEEE 802.11b-1999; Wireless network; Wi-Fi; Wireless sensor network; Telecommunications; Machine learning","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":[0.008900945,0.0009404295,0.0009848389,0.0006269341,0.001279233,0.002019,0.001889148,0.003186164,0.001944223],"category_scores_gemma":[0.02340935,0.0004722326,0.0004199589,0.001010258,0.002321903,0.006772275,0.0009678907,0.003023593,0.0008891158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436886,"about_ca_system_score_gemma":0.001089499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005246379,"about_ca_topic_score_gemma":0.003282619,"domain_scores_codex":[0.9964852,0.001672039,0.0001415729,0.0002727289,0.001106038,0.0003223179],"domain_scores_gemma":[0.9871935,0.007302107,0.0006235791,0.001262204,0.003295596,0.0003229618],"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":[0.0008072463,0.0003504852,0.03821423,0.001262659,0.0002544083,0.003024099,0.003859656,0.2581873,0.01508263,0.2085018,0.03788268,0.4325728],"study_design_scores_gemma":[0.0001176327,0.000833084,0.006714392,0.0007035128,0.000131754,0.0041405,0.002463392,0.6756343,0.01399489,0.2485402,0.04645743,0.0002688427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1370198,0.02135701,0.7251503,0.07046574,0.002231914,0.0002577516,0.0002343364,0.003093918,0.04018917],"genre_scores_gemma":[0.9352443,0.007059828,0.0470844,0.003188916,0.0009938182,0.0001791809,0.0001023516,0.0002151257,0.0059322],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008900945,"threshold_uncertainty_score":0.04707325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04977944791952341,"score_gpt":0.2406443396206263,"score_spread":0.1908648917011029,"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."}}