{"id":"W2014667180","doi":"10.1109/onlinegreencom.2013.6731047","title":"A greener MAC layer protocol for smart home wireless sensor networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wireless sensor network; Computer network; Computer science; Energy consumption; Efficient energy use; Key distribution in wireless sensor networks; Media access control; Overhead (engineering); Access control; Multiple Access with Collision Avoidance for Wireless; Wireless network; Wireless; Real-time computing; Engineering; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002678763,0.0003676044,0.0003517187,0.00012938,0.0002255904,0.0004457388,0.001236695,0.0002317811,0.0001736323],"category_scores_gemma":[0.0000124018,0.0002918436,0.0001878072,0.0005492645,0.00007788061,0.0005645788,0.0003503963,0.0002287504,0.0002463048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005755238,"about_ca_system_score_gemma":0.00004556025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001680728,"about_ca_topic_score_gemma":0.00005046402,"domain_scores_codex":[0.997246,0.0001007855,0.0004722394,0.0008219469,0.0003857646,0.0009732808],"domain_scores_gemma":[0.9978645,0.0002753731,0.0001637923,0.001098035,0.0003241253,0.0002742054],"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":[0.0001082558,0.0008139636,0.004402373,0.0001712458,0.0001636343,0.00004024915,0.0003093357,0.5391953,0.002693612,0.1572837,0.1613191,0.1334992],"study_design_scores_gemma":[0.001192839,0.0001246506,0.0007169322,0.00003952963,0.000004232255,0.00001620237,0.000007574407,0.9686041,0.001263656,0.0003602198,0.02718741,0.000482622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.003577728,0.000004846201,0.9037588,0.0009931776,0.0004004501,0.08707041,9.882377e-7,0.000693486,0.003500082],"genre_scores_gemma":[0.1288498,0.000001424452,0.2066149,0.002838536,0.0007987653,0.6437706,0.000009056717,0.0001121982,0.01700478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.697144,"threshold_uncertainty_score":0.9999534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219961648763266,"score_gpt":0.2602997964754333,"score_spread":0.2381001799878007,"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."}}