{"id":"W2095761994","doi":"10.1109/iwcmc.2013.6583655","title":"Interaction of clustering period and event sensing reliability in IEEE 802.15.4 based WSNs","year":2013,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cluster analysis; Reliability (semiconductor); Computer science; Energy consumption; Wireless sensor network; Power consumption; Set (abstract data type); Data mining; Real-time computing; Power (physics); Distributed computing; Computer network; Engineering; Artificial intelligence","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":[0.002854418,0.00057718,0.0004629808,0.0005627896,0.0002780137,0.0005077718,0.0005612567,0.0005969839,0.0003212126],"category_scores_gemma":[0.01196655,0.0003714607,0.0002614305,0.0004525526,0.0005476907,0.001273626,0.0003077469,0.0004401516,0.00006472329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006260703,"about_ca_system_score_gemma":0.0005026037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139057,"about_ca_topic_score_gemma":0.001244806,"domain_scores_codex":[0.998571,0.0005024098,0.00008739277,0.0001851079,0.0004682482,0.0001858085],"domain_scores_gemma":[0.9876815,0.009609189,0.001176903,0.0006906305,0.0007261529,0.0001156577],"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":[0.0009420954,0.0002606949,0.02402892,0.000153398,0.0001624576,0.0001816058,0.0002078659,0.9040965,0.03949844,0.002096421,0.0002492512,0.02812232],"study_design_scores_gemma":[0.00002088869,0.0004813249,0.008851287,0.00001023466,0.00007818179,0.0001703741,0.0000653869,0.9703751,0.01857077,0.001107317,0.000243554,0.00002561111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313731,0.0004655434,0.06678139,0.0001593653,0.00002041145,0.00002551404,0.00003998403,0.0002584072,0.0008762252],"genre_scores_gemma":[0.9959967,0.00007623007,0.003723315,0.00001024993,0.000005505324,0.00001189933,0.00001934724,0.00001653731,0.0001401957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002854418,"threshold_uncertainty_score":0.01509583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027650776258292,"score_gpt":0.2314540715010838,"score_spread":0.2211775637385008,"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."}}