{"id":"W2135500999","doi":"10.1109/sensorcomm.2008.55","title":"A Web Services-Based Infrastructure for Traffic Monitoring Using ZigBee","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Web service; Wireless sensor network; Database; World Wide Web","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":[0.00009273813,0.0001967518,0.000190283,0.0001328024,0.0003136272,0.00009069461,0.0007940481,0.000115701,0.000006989552],"category_scores_gemma":[0.000005771748,0.0001802634,0.0001056749,0.0004963945,0.00003663766,0.0002592476,0.0000916832,0.0001279751,0.000004115293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007442926,"about_ca_system_score_gemma":0.0001233213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001193309,"about_ca_topic_score_gemma":0.000008224126,"domain_scores_codex":[0.9985749,0.00003068215,0.0002268246,0.0004433163,0.0002802382,0.0004440256],"domain_scores_gemma":[0.999055,0.0001169018,0.0000886221,0.0005141009,0.0001108319,0.0001145678],"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":[0.00000600523,0.00002375102,0.001228247,0.00002090149,0.000007444806,0.00001220265,0.0001485265,0.9920579,0.002644003,0.0003717749,0.00006803576,0.003411168],"study_design_scores_gemma":[0.0005533686,0.00003718926,0.0007173194,0.00003799613,0.000004814646,0.00003113145,0.00001649338,0.9928754,0.004643386,0.00001575344,0.0008497802,0.0002173652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6406003,0.00005588079,0.3580883,0.00005646937,0.0005777538,0.0001199793,9.681593e-7,0.0003307715,0.0001696457],"genre_scores_gemma":[0.720867,0.000003777815,0.2786848,0.0001436696,0.0002102758,0.000007996853,0.000001728941,0.00001660073,0.00006411923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08026674,"threshold_uncertainty_score":0.7350926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010881294128429,"score_gpt":0.2426531879416005,"score_spread":0.2225443750003162,"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."}}