{"id":"W4236976896","doi":"10.32920/ryerson.14654817","title":"Multi-Level Clustering Architecture and Protocol Designs for Wireless Sensor Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Wireless sensor network; Computer science; Cluster analysis; Computer network; Redundancy (engineering); Sink (geography); Data redundancy; Key distribution in wireless sensor networks; Real-time computing; Data transmission; Wireless; Wireless network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001153861,0.0005190409,0.0003368222,0.0008263513,0.0005701282,0.001195927,0.001442179,0.0009203557,0.001699759],"category_scores_gemma":[0.001476424,0.0004391494,0.0005057983,0.001288538,0.0003910927,0.001418521,0.0006286402,0.001159477,0.001266137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059107,"about_ca_system_score_gemma":0.0008688345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008916886,"about_ca_topic_score_gemma":0.001189764,"domain_scores_codex":[0.9989818,0.0002861676,0.0001137709,0.0001315448,0.0004223358,0.00006448655],"domain_scores_gemma":[0.9993452,0.00008886782,0.00007342402,0.0001438968,0.0003220233,0.00002662216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002130929,0.0001552573,0.0008091948,0.001386269,0.0001886928,0.0002608979,0.0005232532,0.2025877,0.0857083,0.2706371,0.0148743,0.4226559],"study_design_scores_gemma":[0.00006535788,0.0006534074,0.0008484747,0.0002249478,0.0001544922,0.001005673,0.0002063735,0.6499873,0.06940315,0.0797334,0.197594,0.0001233762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00526762,0.002496677,0.9860518,0.000351401,0.0002097633,0.0002630231,0.00008256656,0.0006537158,0.004623475],"genre_scores_gemma":[0.1645309,0.004453791,0.8194433,0.0003406001,0.0001611363,0.0009277665,0.0004850849,0.0002170514,0.009440347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001699759,"threshold_uncertainty_score":0.00768435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218041180145081,"score_gpt":0.3000241577034594,"score_spread":0.2278437459020086,"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."}}