{"id":"W2118169578","doi":"10.1109/cloudnet.2015.7335310","title":"Smart room monitoring through wireless sensor networks in software defined infrastructures","year":2015,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Wireless sensor network; Cloud computing; Software; Wireless; Wireless network; Embedded system; Real-time computing; Computer network; Telecommunications; 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":[0.0009598465,0.0004013789,0.0003153004,0.0003127845,0.0004061073,0.001263311,0.0007657274,0.0005242937,0.0004053144],"category_scores_gemma":[0.00115571,0.0002658488,0.0002407422,0.0003413214,0.000495975,0.001792925,0.0009023017,0.0006957408,0.0001425446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007419982,"about_ca_system_score_gemma":0.0007471812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943082,"about_ca_topic_score_gemma":0.002354888,"domain_scores_codex":[0.9991053,0.0003614399,0.00004269158,0.0001197701,0.0002939217,0.00007692763],"domain_scores_gemma":[0.9996036,0.00016801,0.00005881568,0.00004812185,0.00009527482,0.0000261322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004440739,0.0003864312,0.007101839,0.0004100265,0.000136897,0.0007210681,0.0006173025,0.4117323,0.1108495,0.1694734,0.005321947,0.2928051],"study_design_scores_gemma":[0.00001790252,0.000127233,0.0005080876,0.00002131611,0.00002692798,0.0001323284,0.0000733373,0.9617621,0.0170703,0.01110514,0.009135831,0.00001962053],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06646008,0.001183407,0.9241202,0.0005666923,0.0001076292,0.00008757231,0.00002596612,0.001038551,0.006409767],"genre_scores_gemma":[0.8128892,0.0008273332,0.1830632,0.0001551418,0.00005728712,0.00009008921,0.00005164416,0.00004565064,0.002820511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001943082,"threshold_uncertainty_score":0.005383611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970011374905081,"score_gpt":0.2541773665138165,"score_spread":0.2244772527647657,"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."}}