{"id":"W1966543531","doi":"10.1109/glocom.2014.7036811","title":"Adaptive time slots control in wireless sensor networks for delay-aware applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wireless sensor network; Computer science; Beacon; Computer network; Network topology; Quality of service; Key distribution in wireless sensor networks; Throughput; Synchronization (alternating current); Wireless; Real-time computing; Wireless network; Telecommunications; Channel (broadcasting)","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":[0.0004207588,0.0002408224,0.0003416534,0.0001363223,0.0001543479,0.0001031571,0.0008700974,0.0001780839,0.00001071934],"category_scores_gemma":[0.00001379574,0.0002270034,0.0001063413,0.0005533668,0.00006293396,0.0001970269,0.0001167691,0.0001903172,0.00007198559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007250663,"about_ca_system_score_gemma":0.00003266668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003103193,"about_ca_topic_score_gemma":0.0000697138,"domain_scores_codex":[0.9979885,0.0001408603,0.0003766808,0.000666714,0.0002150713,0.0006121535],"domain_scores_gemma":[0.9978701,0.0009189019,0.0001330093,0.0007471147,0.0001798392,0.000151015],"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":[0.00002626528,0.0001090769,0.0001462467,0.000004926812,0.00001900586,0.000002359884,0.00003862614,0.8503263,0.0001268286,0.1171324,0.001047317,0.03102065],"study_design_scores_gemma":[0.001060786,0.00008816458,0.0001488146,0.00001950197,0.000007453896,0.000006285088,0.00000919709,0.994834,0.00008634059,0.0003204112,0.003131587,0.000287463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001390927,0.00003352353,0.9942176,0.0004729005,0.0001499777,0.0008544871,0.000004510161,0.0003560803,0.002520043],"genre_scores_gemma":[0.9501169,0.000005393462,0.04715312,0.001078498,0.0002538551,0.0004509253,0.00001367253,0.00003070758,0.0008968978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.948726,"threshold_uncertainty_score":0.9256932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006805645226862576,"score_gpt":0.207922742927349,"score_spread":0.2011170977004864,"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."}}