{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001571931,0.000680203,0.0006205175,0.000939482,0.0003658046,0.001017576,0.008447004,0.0002544439,0.00004328366],"category_scores_gemma":[0.000130012,0.0006188726,0.0001432783,0.0005939482,0.0005078947,0.0008566148,0.005714662,0.0005368284,0.0001189912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721633,"about_ca_system_score_gemma":0.0004134489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003807442,"about_ca_topic_score_gemma":0.00009369731,"domain_scores_codex":[0.9945223,0.00003491431,0.0006618154,0.002781163,0.00102604,0.00097375],"domain_scores_gemma":[0.9947224,0.0003959765,0.0004233292,0.003986341,0.0002518788,0.000220113],"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":[0.00003791687,0.0001541662,0.0001295558,0.0002492014,0.00008064407,0.0002649227,0.0009016122,0.01734379,0.0001264556,0.03691492,0.001600486,0.9421963],"study_design_scores_gemma":[0.000441463,0.0001326537,0.00002034815,0.0002554236,0.00002297066,0.00002986211,2.792091e-7,0.9514791,0.0002348704,0.01439499,0.03216483,0.0008232279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006631809,0.0001749257,0.9923286,0.0006337292,0.002944621,0.001007234,0.0001717064,0.000265348,0.002407532],"genre_scores_gemma":[0.0171326,0.00002350101,0.9784889,0.001199647,0.0009919477,0.00001897852,0.0002275704,0.00006900247,0.001847915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9413731,"threshold_uncertainty_score":0.9996263,"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."}}