{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000237876,0.0003935041,0.0002765721,0.0003529236,0.0002995601,0.0007090123,0.000519652,0.0007262823,0.01097197],"category_scores_gemma":[0.0004491662,0.0001060485,0.0001456976,0.0005838199,0.0002232993,0.00110552,0.0005713669,0.0007392703,0.004800283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003119263,"about_ca_system_score_gemma":0.0003697324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004747481,"about_ca_topic_score_gemma":0.0007688939,"domain_scores_codex":[0.9997433,0.00005109155,0.00001508477,0.00004925788,0.0001226526,0.00001864241],"domain_scores_gemma":[0.9998515,0.00002482677,0.00001337152,0.0000209403,0.00007258536,0.00001682514],"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":[0.0002386179,0.00008045013,0.0008821316,0.001119957,0.00003814748,0.0004013672,0.0001787077,0.008340038,0.03373799,0.1109686,0.1359291,0.7080848],"study_design_scores_gemma":[0.00002857061,0.0001429703,0.0006736626,0.00019403,0.00002155395,0.0006466408,0.00006835137,0.02617625,0.006859004,0.02255623,0.9426043,0.00002847896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01558906,0.06727926,0.608428,0.008471984,0.007318391,0.0005574052,0.001426455,0.006297028,0.2846324],"genre_scores_gemma":[0.3894721,0.05185287,0.253991,0.00471078,0.002525659,0.0007222249,0.003712891,0.0004336555,0.2925789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097197,"threshold_uncertainty_score":0.0367049,"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."}}