{"id":"W2122304282","doi":"10.1109/icde.2005.186","title":"An Analysis of Spatio-Temporal Query Processing in Sensor Networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Wireless sensor network; Efficient energy use; Distributed computing; Data mining; Computer network","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":[0.004838308,0.00129589,0.001153887,0.001555354,0.0009977667,0.00181288,0.002596674,0.001791886,0.002136092],"category_scores_gemma":[0.02487317,0.000663025,0.0009423483,0.002218259,0.001737458,0.004114249,0.0009534949,0.001308722,0.0002881105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002625275,"about_ca_system_score_gemma":0.001457588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008094993,"about_ca_topic_score_gemma":0.003234593,"domain_scores_codex":[0.9967306,0.0009185853,0.0001339195,0.0003602527,0.001472472,0.0003841307],"domain_scores_gemma":[0.9821563,0.01390279,0.00141394,0.0005217697,0.001756143,0.0002491137],"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":[0.00009210275,0.00004913214,0.001063663,0.0001577333,0.00006347884,0.0001273715,0.0001654534,0.9450856,0.003896573,0.03603571,0.001015827,0.01224734],"study_design_scores_gemma":[0.000001927853,0.0000159483,0.0001992104,0.000004058315,0.000007224497,0.00002711204,0.00001679785,0.9964233,0.0002451337,0.002884466,0.0001710521,0.00000383696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1277405,0.005809425,0.8565914,0.00259064,0.0001618137,0.0001730791,0.0002658126,0.0003987896,0.006268605],"genre_scores_gemma":[0.9575301,0.003180833,0.03556448,0.0002457439,0.0002512812,0.000198296,0.00022194,0.0001278599,0.002679571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008094993,"threshold_uncertainty_score":0.02558768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009840148447392488,"score_gpt":0.2480428241555948,"score_spread":0.2382026757082024,"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."}}