{"id":"W2121059981","doi":"10.1080/15501320500330711","title":"BBS: An Energy Efficient Localized Routing Scheme for Query Processing in Wireless Sensor Networks","year":2006,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Flooding (psychology); Sink (geography); Wireless sensor network; Query optimization; Computer network; Efficient energy use; Distributed computing; Data mining","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":[0.00147862,0.0006652587,0.001329737,0.001135162,0.0008888672,0.0007460627,0.00232725,0.0007905399,0.001514502],"category_scores_gemma":[0.002411061,0.0003604314,0.0005657735,0.001530653,0.0008630423,0.001882733,0.001721728,0.0008501824,0.0009568234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007210359,"about_ca_system_score_gemma":0.001138592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256313,"about_ca_topic_score_gemma":0.00227091,"domain_scores_codex":[0.9988411,0.0002881737,0.00008829118,0.0001508456,0.0005176937,0.0001139257],"domain_scores_gemma":[0.9987115,0.0003658521,0.0001755054,0.000329074,0.0003289892,0.00008919393],"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":[0.001197829,0.0003058999,0.001270055,0.0009728309,0.0002167042,0.000361086,0.0007330058,0.1369402,0.193107,0.03228723,0.02561454,0.6069937],"study_design_scores_gemma":[0.000230304,0.0009701384,0.001070192,0.00005879053,0.0001387424,0.0006555335,0.0002105276,0.903056,0.04071262,0.01862002,0.03413716,0.0001400175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01712189,0.00162329,0.9752725,0.0003813466,0.0001198281,0.0002381018,0.0001749649,0.003598762,0.00146926],"genre_scores_gemma":[0.5510324,0.001962648,0.4392793,0.0005491163,0.0002409867,0.0005803664,0.0009545856,0.0002770282,0.005123547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00232725,"threshold_uncertainty_score":0.007819831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009048735065535189,"score_gpt":0.2456180024510137,"score_spread":0.2365692673854785,"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."}}