{"id":"W4307010260","doi":"10.1109/ccece49351.2022.9918499","title":"Virtual Sensor Middleware: Managing IoT Data for the Fog-Cloud Platform","year":2022,"lang":"en","type":"preprint","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Middleware (distributed applications); Cloud computing; Wireless sensor network; Sensor web; Virtualization; Distributed computing; Embedded system; Virtual machine; Computer network; Key distribution in wireless sensor networks; Real-time computing; Operating system; Wireless; Wireless 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001659612,0.0004162667,0.0003904689,0.0001480612,0.0009910371,0.0008884014,0.01016022,0.0001541175,0.0000412354],"category_scores_gemma":[0.0001290851,0.0003129315,0.000212123,0.0002853567,0.00005688853,0.0002292571,0.03296686,0.0009862488,0.00004197616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375649,"about_ca_system_score_gemma":0.00027651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002118982,"about_ca_topic_score_gemma":0.00001087453,"domain_scores_codex":[0.9966813,0.00005781691,0.000504612,0.001458746,0.0005851508,0.000712326],"domain_scores_gemma":[0.9935963,0.0011495,0.0002648968,0.004806723,0.00008024088,0.0001023835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003778893,0.0001114213,0.0001033464,0.0002899986,0.0004423085,0.00005644127,0.003148434,0.01039845,0.00001216338,0.04238556,0.5276717,0.4153424],"study_design_scores_gemma":[0.000188232,0.00003711264,0.00003322796,0.0000342361,0.00003073531,0.0000148908,0.0002069059,0.6531018,0.0000218064,0.005233934,0.3407224,0.0003746593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001091717,0.0004224037,0.9298592,0.004539212,0.05770369,0.0009503203,0.00002319878,0.0005792421,0.004831034],"genre_scores_gemma":[0.03456358,0.000307257,0.8262323,0.01308574,0.06902209,0.0007244066,0.001951624,0.0004339181,0.05367915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6427034,"threshold_uncertainty_score":0.9999323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085762766199906,"score_gpt":0.3009491990757271,"score_spread":0.1923729224557365,"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."}}