{"id":"W2155962735","doi":"10.1109/tmc.2010.229","title":"Adaptive Asynchronous Sleep Scheduling Protocols for Delay Tolerant Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Asynchronous communication; Sleep mode; Computer network; Energy consumption; Distributed computing; Efficient energy use; Scalability; Power management; Network packet; Scheduling (production processes); Power consumption; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006342931,0.0003803546,0.0004214594,0.0001547633,0.0009002403,0.0002946654,0.0008636939,0.0002753389,0.00002886502],"category_scores_gemma":[0.00000229083,0.0003774918,0.000281667,0.0004171995,0.00009981898,0.000325728,0.0000130406,0.001013314,0.00002530069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006453772,"about_ca_system_score_gemma":0.000157875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000139211,"about_ca_topic_score_gemma":0.00001712207,"domain_scores_codex":[0.9974048,0.00007692415,0.0006152536,0.0008196211,0.0003075978,0.0007758065],"domain_scores_gemma":[0.9979321,0.0006810086,0.0002307481,0.0006762085,0.0001991387,0.0002808086],"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":[0.00004841209,0.000185865,0.00000361212,0.00001191857,0.00003374742,0.00001269159,0.0001589992,0.5995022,0.0001365798,0.0007523029,0.00002646585,0.3991272],"study_design_scores_gemma":[0.0009479038,0.0005114829,0.000007588459,0.00009746004,0.00002730084,0.00007467226,0.00003346308,0.9959016,0.0009603013,0.0002801931,0.0007191292,0.0004389128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005664502,0.00002677304,0.9828836,0.00006224624,0.002066194,0.008504923,0.00000959728,0.0005130954,0.0002690953],"genre_scores_gemma":[0.8013803,0.000002150869,0.1944536,0.0002316399,0.0004269491,0.003426499,0.000002312844,0.00003859931,0.00003801323],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7957157,"threshold_uncertainty_score":0.9998677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207387829873364,"score_gpt":0.2764403257347331,"score_spread":0.2543664474359995,"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."}}