{"id":"W1850074669","doi":"","title":"Dynamic allocation of sensor nodes in wireless sensor networks hosting multiple applications","year":2013,"lang":"en","type":"article","venue":"International Symposium on Performance Evaluation of Computer and Telecommunication Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Wireless sensor network; Computer science; Key distribution in wireless sensor networks; Computer network; Mobile wireless sensor network; Distributed computing; Popularity; State (computer science); Wireless; Wireless network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133276,0.0001991451,0.0002986233,0.0003263633,0.0001079806,0.0001197108,0.0009730597,0.0001183852,0.000005841458],"category_scores_gemma":[0.00002371207,0.0002015691,0.00005443291,0.0004545101,0.00008633131,0.0005894676,0.0002177639,0.0001988594,0.00001030011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001769011,"about_ca_system_score_gemma":0.00004956208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001514226,"about_ca_topic_score_gemma":0.0000140086,"domain_scores_codex":[0.9972416,0.0003883287,0.0009736059,0.000378795,0.0008124927,0.0002052502],"domain_scores_gemma":[0.9964989,0.0005502566,0.000714299,0.0008108299,0.0013691,0.00005659668],"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":[0.00001016674,0.0001673586,0.009689475,0.00003284874,0.00003294042,5.927897e-8,0.0002352981,0.9219061,0.00197887,0.002656371,0.000009698105,0.06328078],"study_design_scores_gemma":[0.0007301531,0.00006308957,0.05657492,0.0002593284,0.000009080441,0.000008617145,0.00004716869,0.9411959,0.0008318218,0.00001325781,0.0001002796,0.0001664056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6502405,0.0001737948,0.3471839,0.0004469239,0.0003631084,0.0008606031,0.00000281187,0.00005524197,0.000673137],"genre_scores_gemma":[0.9851088,0.000483667,0.01381789,0.00004410937,0.00006402107,0.0003628366,0.00007527252,0.00001617832,0.00002724413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3348683,"threshold_uncertainty_score":0.8219749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707989466750926,"score_gpt":0.2618547413342193,"score_spread":0.2447748466667101,"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."}}