{"id":"W4404823807","doi":"10.18280/mmep.111129","title":"Optimizing Packet Processing in IoT-Enabled Wireless Sensor Networks: A Novel Data Mining Approach","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Computer science; Wireless sensor network; Computer network; Network packet; Wireless; Telecommunications; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001510055,0.0009646169,0.001349961,0.0009751497,0.0004281378,0.001385452,0.001777461,0.001154347,0.0009698527],"category_scores_gemma":[0.005674663,0.0006245489,0.0008910639,0.001568628,0.0007089822,0.002311057,0.000977187,0.001120758,0.0001717287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007960739,"about_ca_system_score_gemma":0.001247721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002781025,"about_ca_topic_score_gemma":0.002122222,"domain_scores_codex":[0.9994475,0.000171335,0.0000454314,0.0001179348,0.0001670904,0.00005072329],"domain_scores_gemma":[0.9975771,0.001728466,0.0002415683,0.0001604151,0.0002467699,0.00004571075],"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":[0.00004630038,0.00009389137,0.001016694,0.00008706866,0.00005479289,0.00003876763,0.00003195974,0.9384537,0.000930581,0.01488916,0.0009918878,0.0433652],"study_design_scores_gemma":[0.000001609697,0.000005848749,0.00004948095,0.000002388548,0.000003620706,0.000005310274,0.000003797642,0.9942331,0.0002028548,0.005378303,0.0001123446,0.000001396551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01218428,0.0003100169,0.986115,0.0003916123,0.00003026432,0.00003021893,0.0000739935,0.00011147,0.0007532362],"genre_scores_gemma":[0.5865929,0.00142095,0.4078455,0.0002640444,0.0002655878,0.000219304,0.0003643945,0.000150107,0.002877286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002781025,"threshold_uncertainty_score":0.007986009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289624742341829,"score_gpt":0.2277575852910942,"score_spread":0.1848613378676759,"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."}}