{"id":"W2960168203","doi":"10.1088/1742-6596/1237/4/042019","title":"Energy Balanced Clustering Protocol for Wireless Sensor Networks","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Patient Safety Institute","keywords":"Wireless sensor network; Cluster analysis; Computer science; Routing protocol; Computer network; Energy consumption; Key distribution in wireless sensor networks; Mobile wireless sensor network; Wireless Routing Protocol; Zone Routing Protocol; Distributed computing; Real-time computing; Wireless network; Routing (electronic design automation); Wireless; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002445597,0.0002605699,0.0004971185,0.00007145402,0.0001049275,0.0003088367,0.001013773,0.0001098391,0.00001217938],"category_scores_gemma":[0.00001097071,0.0002230918,0.0002033595,0.0002951238,0.00006900466,0.001109342,0.0001986304,0.0002559623,0.000003187052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005354614,"about_ca_system_score_gemma":0.0001816047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004581766,"about_ca_topic_score_gemma":0.00000786478,"domain_scores_codex":[0.998208,0.00008465577,0.0005717205,0.0002969137,0.000391173,0.0004475325],"domain_scores_gemma":[0.9976974,0.0001679172,0.0007893944,0.0004682401,0.0007499508,0.0001270693],"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":[0.0003800051,0.000165036,0.000322003,0.0001278646,0.00009914214,0.0000196627,0.0004105135,0.5938278,0.009864413,0.2277657,0.0005264031,0.1664915],"study_design_scores_gemma":[0.001778615,0.0007454631,0.00009477684,0.0003974234,0.0000109394,0.00007197379,0.00009389852,0.9363246,0.04966527,0.00258941,0.007802367,0.0004252718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001920687,0.00000564538,0.9900237,0.0002313198,0.0007591177,0.006381847,0.000001291977,0.00005511447,0.0006212413],"genre_scores_gemma":[0.9357634,0.00001467301,0.05635524,0.0002669436,0.001126955,0.005493473,0.000002531155,0.00004833566,0.0009284685],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9338427,"threshold_uncertainty_score":0.909742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950591609001268,"score_gpt":0.2547549787298082,"score_spread":0.2352490626397955,"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."}}