{"id":"W1519213797","doi":"10.1109/les.2015.2440761","title":"A Framework of Reconfigurable Transducer Nodes for Smart Home Environments","year":2015,"lang":"en","type":"article","venue":"IEEE Embedded Systems Letters","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Wireless sensor network; Node (physics); Wireless; Transducer; Key distribution in wireless sensor networks; Transceiver; Computer network; Energy consumption; Embedded system; Wireless network; Protocol (science); Cluster analysis; Plug and play; Smart transducer; Telecommunications; 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":[0.0005596949,0.0004481936,0.0004372425,0.0003746299,0.0006111311,0.001117892,0.00183583,0.0009848117,0.003285112],"category_scores_gemma":[0.0005847134,0.0002954192,0.0006641605,0.0003273383,0.0008964817,0.001387813,0.001652565,0.000935943,0.001063927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326535,"about_ca_system_score_gemma":0.0008130222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898403,"about_ca_topic_score_gemma":0.002443416,"domain_scores_codex":[0.9995835,0.0001072293,0.00002606808,0.00008148151,0.0001432028,0.00005846309],"domain_scores_gemma":[0.9998285,0.00004979431,0.00001621034,0.00003946665,0.00003196225,0.0000341345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001444894,0.00007778763,0.0005220051,0.0003276265,0.00005107561,0.001469081,0.000784796,0.1170446,0.05881508,0.7107593,0.006557595,0.1034465],"study_design_scores_gemma":[0.00006083555,0.0003289335,0.0003885331,0.0001332152,0.00007558907,0.001136391,0.0002633894,0.6151524,0.02688669,0.09875292,0.2567222,0.000099052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0051867,0.0003357795,0.985859,0.0001520575,0.00009292712,0.0000803961,0.0000420975,0.001338169,0.006912992],"genre_scores_gemma":[0.2036239,0.0009904744,0.7800544,0.0001485413,0.00007877625,0.0003967265,0.0002178215,0.0002295652,0.01425995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003285112,"threshold_uncertainty_score":0.01098979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218140402176883,"score_gpt":0.2468262752024823,"score_spread":0.2146448711807134,"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."}}