{"id":"W2118111606","doi":"","title":"Cloud-based cost-efficient application and service provisioning in virtualized wireless sensor networks","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; Institut Mines-Télécom; Cisco Systems","keywords":"Computer science; Wireless sensor network; Provisioning; Cloud computing; Distributed computing; Virtualization; Computer network; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007845199,0.0006381712,0.0007292366,0.0004412136,0.0003555127,0.0008740961,0.002651362,0.0006460925,0.000006557199],"category_scores_gemma":[0.0005153114,0.000701411,0.0001475257,0.001489929,0.0002239101,0.0001657038,0.003065398,0.00126113,0.00001728258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386249,"about_ca_system_score_gemma":0.0005308302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379611,"about_ca_topic_score_gemma":0.002228373,"domain_scores_codex":[0.9897869,0.005732731,0.0009880548,0.001882041,0.0008443588,0.0007659069],"domain_scores_gemma":[0.9903358,0.001964557,0.0009180093,0.003528171,0.002833548,0.0004199327],"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":[0.00003482836,0.0006334943,0.000563885,0.0001384036,0.00002712703,0.00001227366,0.003666487,0.8906768,0.0003803328,0.05291685,0.0001609542,0.05078858],"study_design_scores_gemma":[0.001174916,8.869474e-7,0.0004496101,0.001579645,0.00002036895,0.000008736172,0.00006472365,0.9914255,0.002531244,0.0003973242,0.001688678,0.0006583541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1304032,0.0008364359,0.8575741,0.006690843,0.0004133394,0.001358822,0.00001401783,0.0005250179,0.002184229],"genre_scores_gemma":[0.907989,0.0001602547,0.0901214,0.0005121685,0.00006071954,0.0003924373,0.0003098415,0.0000873322,0.0003668109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7775859,"threshold_uncertainty_score":0.9995437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385600937522717,"score_gpt":0.2309042349378828,"score_spread":0.2170482255626557,"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."}}