{"id":"W2022455894","doi":"10.1109/icsens.2013.6688566","title":"Region based three dimensional real-timel routing protocol for wireless sensor networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer network; Computer science; Routing protocol; Packet forwarding; Network packet; Geographic routing; Wireless sensor network; Virtual routing and forwarding; Wireless Routing Protocol; Dynamic Source Routing; Zone Routing Protocol; Distributed computing; Node (physics); Engineering","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":[0.000598052,0.0004773084,0.0004742911,0.0005414029,0.0003740939,0.0008903781,0.001249932,0.0006397893,0.001398812],"category_scores_gemma":[0.001256056,0.0002022532,0.0005276162,0.0007170454,0.0004451246,0.001271438,0.001014362,0.0007282305,0.0009033701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004363839,"about_ca_system_score_gemma":0.0005473535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000800174,"about_ca_topic_score_gemma":0.0009748149,"domain_scores_codex":[0.9993574,0.0002125393,0.00004781214,0.00007815326,0.0002703792,0.00003374396],"domain_scores_gemma":[0.9994686,0.0001491559,0.00009445159,0.0001157649,0.0001435147,0.00002840764],"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":[0.0004381208,0.00007655386,0.0008344642,0.0009962452,0.000218384,0.000774787,0.0004992495,0.1756257,0.0973779,0.1298093,0.02952264,0.5638267],"study_design_scores_gemma":[0.00009210488,0.0005234326,0.0009011348,0.0001044179,0.000135917,0.001729839,0.0001422063,0.6806712,0.04812875,0.04703213,0.2203522,0.0001866191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005617789,0.004187367,0.9824144,0.0003695393,0.0003314444,0.00009874516,0.0001497937,0.001967058,0.004863797],"genre_scores_gemma":[0.3454603,0.007226156,0.6334856,0.0006662934,0.0002119992,0.0008638236,0.001288938,0.0004048139,0.01039213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001398812,"threshold_uncertainty_score":0.004679441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253204127660763,"score_gpt":0.2572088419905249,"score_spread":0.2318884292244486,"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."}}