{"id":"W75042331","doi":"10.1007/978-3-642-22922-0_39","title":"Efficient Spatio-temporal Sensor Data Loading for a Sensor Web Browser","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sensor web; Computer science; Mashup; Wireless sensor network; Cache; Web server; Web API; Computer network; Web service; Web navigation; Distributed computing; The Internet; World Wide Web; Key distribution in wireless sensor networks; Operating system","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":[0.0005319476,0.001337684,0.0009684067,0.001010494,0.0006889881,0.002065075,0.001810721,0.000701525,0.01432098],"category_scores_gemma":[0.002365252,0.0008927457,0.0007219603,0.001231003,0.0004036939,0.002035463,0.002105244,0.0009289255,0.006089589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007225977,"about_ca_system_score_gemma":0.001012655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004045967,"about_ca_topic_score_gemma":0.006973913,"domain_scores_codex":[0.9995174,0.00004280057,0.000046724,0.00009576524,0.0002421247,0.00005512861],"domain_scores_gemma":[0.9985259,0.0003911793,0.00004963297,0.000542882,0.0003443999,0.0001461019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001376113,0.0004384606,0.005952271,0.0005725649,0.0002126163,0.0009479175,0.0008833678,0.01605923,0.1627368,0.01174941,0.08492053,0.7141507],"study_design_scores_gemma":[0.0002195171,0.0001316477,0.005314529,0.00009818714,0.0001528163,0.0009174087,0.000429368,0.6822125,0.219578,0.01558525,0.075214,0.0001468806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02894173,0.0004368351,0.8209722,0.0002455686,0.0001580224,0.0002747025,0.001472537,0.1386357,0.008862677],"genre_scores_gemma":[0.3388336,0.0006807382,0.6159133,0.0003633718,0.00009695256,0.0004920109,0.005581614,0.01225429,0.02578429],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01432098,"threshold_uncertainty_score":0.04790843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04910952585739128,"score_gpt":0.2643793111135613,"score_spread":0.21526978525617,"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."}}