{"id":"W2509557266","doi":"10.3390/s16091421","title":"Performance Optimization of Priority Assisted CSMA/CA Mechanism of 802.15.6 under Saturation Regime","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"King Saud University","keywords":"Computer science; Computer network; Prioritization; Node (physics); Throughput; Wireless sensor network; Body area network; Carrier sense multiple access with collision avoidance; Wireless; Channel (broadcasting); Bandwidth (computing); Energy consumption; Real-time computing; Engineering; Telecommunications; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001085119,0.0001118914,0.0001768616,0.00007425387,0.00002467909,0.000004835887,0.00007859876,0.0001262768,0.00004689469],"category_scores_gemma":[0.00002104241,0.00009124082,0.00003985656,0.0001671524,0.00003738983,0.0001413528,0.00001543021,0.00006750634,0.000009500533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000637219,"about_ca_system_score_gemma":0.00001417678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005535171,"about_ca_topic_score_gemma":0.000008062339,"domain_scores_codex":[0.9992787,0.00002923073,0.0002591487,0.0001193747,0.0001649649,0.0001486195],"domain_scores_gemma":[0.9994843,0.00005148631,0.00009566436,0.0002397926,0.00009505053,0.00003372991],"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":[0.00002139239,0.00001377341,0.0003333973,0.00007283574,0.00003506977,6.341952e-7,0.0001228435,0.9552869,0.0400674,0.001039242,0.0001200656,0.002886451],"study_design_scores_gemma":[0.0004481805,0.00004833679,0.01196731,0.0001956572,0.00002209236,0.000005422401,0.00003500302,0.8911991,0.09571151,0.0001090513,0.00006770428,0.0001906358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600067,0.00003953782,0.03702992,0.00006459984,0.0002970344,0.0001465308,0.000009351748,0.0001372147,0.002269168],"genre_scores_gemma":[0.9961634,0.0001447009,0.00337489,0.00000418838,0.00006010325,0.000002880382,0.00001011151,0.00002664572,0.000213023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0640878,"threshold_uncertainty_score":0.3720693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009642954055909902,"score_gpt":0.1966836384110364,"score_spread":0.1870406843551265,"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."}}