{"id":"W2036971530","doi":"10.1007/s11235-009-9246-x","title":"Developing wireless sensor network applications in a virtual environment","year":2010,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Communications Research Centre Canada; University of Alberta","funders":"Uniwersytet Warszawski; University of Alberta","keywords":"Emulation; Computer science; Wireless sensor network; Virtualization; Component (thermodynamics); Wireless ad hoc network; Wireless; Wireless network; Underlay; Distributed computing; Field (mathematics); Key distribution in wireless sensor networks; Computer network; Embedded system; Operating system; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008037586,0.0002053638,0.0002689468,0.0001437478,0.000285099,0.0001844925,0.00210667,0.0001750638,0.000005648364],"category_scores_gemma":[0.00001316413,0.0002112239,0.00004880215,0.0007098354,0.00008041375,0.0002435087,0.0005078234,0.0005406864,0.0001184099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508543,"about_ca_system_score_gemma":0.00007104708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001024795,"about_ca_topic_score_gemma":0.0001313717,"domain_scores_codex":[0.9979242,0.0002946971,0.0006001555,0.0004392446,0.0002988107,0.0004428648],"domain_scores_gemma":[0.9968102,0.0004167523,0.0002699595,0.002347162,0.0000591682,0.00009676983],"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":[0.000002284589,0.0001039211,0.003200019,0.00001091976,0.00001430211,0.000001681302,0.0004612697,0.356886,0.001672387,0.6269035,0.0001102711,0.01063335],"study_design_scores_gemma":[0.0005119003,0.00003298519,0.00685764,0.00009515521,0.000005864213,0.00004012874,0.0003185745,0.8615607,0.0005227099,0.0003544682,0.1289985,0.0007013771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1136373,0.0002793994,0.8825918,0.0005870083,0.0004490302,0.0006239499,0.000001154659,0.0003104222,0.00151992],"genre_scores_gemma":[0.942759,0.0001415657,0.05625402,0.00008401381,0.0001551776,0.0003735407,0.00002494528,0.00002399958,0.0001837434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8291217,"threshold_uncertainty_score":0.8613461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665370197306319,"score_gpt":0.2387184178461836,"score_spread":0.2220647158731204,"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."}}