{"id":"W2583711254","doi":"10.1109/glocom.2016.7841933","title":"Joint Routing and MAC Layer QoS-Aware Protocol for Wireless Sensor Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer network; Computer science; Zone Routing Protocol; Enhanced Interior Gateway Routing Protocol; Wireless Routing Protocol; Routing protocol; Dynamic Source Routing; Path vector protocol; Network packet; Distributed computing; Routing table","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":[0.001401145,0.0005786152,0.0004926379,0.0005219081,0.0005404006,0.001034725,0.001373819,0.0007915296,0.000866629],"category_scores_gemma":[0.001773186,0.0002588836,0.0004953534,0.0006041546,0.0004479894,0.001553276,0.001222155,0.001240343,0.0004553641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005499031,"about_ca_system_score_gemma":0.001076168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008484902,"about_ca_topic_score_gemma":0.0009535867,"domain_scores_codex":[0.9988117,0.0002794262,0.000119676,0.0001489869,0.0005615655,0.00007875416],"domain_scores_gemma":[0.9992643,0.0001863273,0.0001105747,0.0001388071,0.0002509078,0.00004917272],"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":[0.0003910051,0.0002288354,0.001222568,0.001324696,0.0002806152,0.000784213,0.0006246093,0.07981851,0.1369421,0.1936311,0.01552424,0.5692275],"study_design_scores_gemma":[0.0000863027,0.0005293046,0.001063332,0.0001152465,0.0002519198,0.00134424,0.0001660045,0.7665682,0.0441932,0.05174879,0.1337744,0.0001589866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006690579,0.004312861,0.9826468,0.0004968274,0.0004704197,0.0001822988,0.00006340281,0.001109453,0.004027489],"genre_scores_gemma":[0.424819,0.005214373,0.5552533,0.0008163191,0.0004711862,0.0009244499,0.0005868601,0.0001784159,0.0117361],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001401145,"threshold_uncertainty_score":0.007410049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565119934460487,"score_gpt":0.2739936309482783,"score_spread":0.2383424316036735,"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."}}