{"id":"W1990417591","doi":"10.1007/s12083-015-0345-z","title":"Energy-efficient routing over coordinated sleep scheduling in wireless ad hoc networks","year":2015,"lang":"en","type":"article","venue":"Peer-to-Peer Networking and Applications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Computer science; Distributed computing; Wireless Routing Protocol; Dynamic Source Routing; Destination-Sequenced Distance Vector routing; Link-state routing protocol; Routing protocol; Routing (electronic design automation)","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":[0.0009690569,0.0004149304,0.0006836411,0.000609226,0.0006150227,0.0009101645,0.0008801713,0.0003696138,0.000684324],"category_scores_gemma":[0.002132542,0.0003130978,0.0002197459,0.0007645214,0.0004830111,0.0009260851,0.0006136874,0.0003582652,0.0001149058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006343222,"about_ca_system_score_gemma":0.0009414752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222742,"about_ca_topic_score_gemma":0.005079386,"domain_scores_codex":[0.9996104,0.0001345625,0.00002216779,0.00005523099,0.000105317,0.00007237544],"domain_scores_gemma":[0.9990056,0.0005678051,0.0001123733,0.00009306055,0.0001620434,0.00005905503],"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":[0.0004635834,0.0001256743,0.001263891,0.0001428111,0.00009327274,0.0001275819,0.0001535826,0.8245718,0.01413271,0.02979984,0.003332658,0.1257926],"study_design_scores_gemma":[0.00002076918,0.00008171964,0.0003572538,0.000006136594,0.0000258114,0.00004268521,0.00004424069,0.9878889,0.001549478,0.009139527,0.0008345166,0.000009037783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.155609,0.004048316,0.8335369,0.0006176028,0.0003889103,0.00006808425,0.00009097309,0.0006597992,0.004980298],"genre_scores_gemma":[0.9734623,0.0005836132,0.02428643,0.00004606253,0.00009435559,0.00002513541,0.00004087856,0.00004155542,0.001419535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002222742,"threshold_uncertainty_score":0.005124927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735716811584254,"score_gpt":0.2570472750309769,"score_spread":0.2396901069151343,"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."}}