{"id":"W2558903599","doi":"10.1109/iemcon.2016.7746273","title":"Smart sensor network for smart buildings","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cloud computing; Computer science; Embedded system; Industrial Ethernet; Ethernet; Wireless sensor network; Scalability; Energy consumption; Computer network; Engineering; Operating system; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004004264,0.0002060819,0.0002165154,0.00006505596,0.0001883311,0.000117001,0.0008996942,0.0001127331,0.00004306097],"category_scores_gemma":[0.00006283038,0.0001334938,0.0001400117,0.0003593003,0.00006266008,0.0002983925,0.0002425399,0.00006495579,0.0001238071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000521389,"about_ca_system_score_gemma":0.00003239315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001879442,"about_ca_topic_score_gemma":0.00002679185,"domain_scores_codex":[0.9980456,0.00004797141,0.0002839731,0.0006104498,0.0002506804,0.0007612926],"domain_scores_gemma":[0.9981778,0.0006506165,0.00009530841,0.0007750225,0.0001343754,0.0001668654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002903431,0.00007614318,0.003258555,0.00001103411,0.00004808461,0.00001171366,0.00005912681,0.01520274,0.003682491,0.757066,0.1267466,0.09380855],"study_design_scores_gemma":[0.001616114,0.0002552454,0.001221621,0.0001424361,0.00001605831,0.00004001279,0.000007960285,0.17707,0.01097232,0.006336545,0.8014143,0.0009074747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01035184,0.00005504689,0.9771674,0.004481667,0.001330676,0.0002215636,0.000001919039,0.0005993287,0.005790541],"genre_scores_gemma":[0.2744656,0.00003269591,0.702274,0.002018145,0.0007820337,0.00006221248,0.000002210877,0.00004329984,0.02031982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7507294,"threshold_uncertainty_score":0.5443718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312159556289996,"score_gpt":0.2236516811115702,"score_spread":0.2105300855486702,"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."}}