{"id":"W2464916371","doi":"10.1109/vtcspring.2016.7504479","title":"Social-Aware Energy-Efficient Data Dissemination with D2D Communications","year":2016,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Dissemination; Exploit; Efficient energy use; Data transmission; Energy consumption; Mobile device; Information Dissemination; Scheduling (production processes); Computer network; Mobile telephony; Transmission (telecommunications); Popularity; Distributed computing; Computer security; Mobile radio; Telecommunications; World Wide Web; 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":[0.000766421,0.0005738274,0.0007326601,0.000861013,0.0008917956,0.0008698264,0.001257646,0.000726965,0.0009457375],"category_scores_gemma":[0.002866225,0.0002559576,0.0004320073,0.001289739,0.0004578762,0.00133161,0.001481734,0.0004431202,0.0002256251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007673868,"about_ca_system_score_gemma":0.0009104728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002346462,"about_ca_topic_score_gemma":0.003420142,"domain_scores_codex":[0.9993923,0.0002092099,0.00003262105,0.0001026135,0.000183184,0.0000800062],"domain_scores_gemma":[0.9985337,0.0008398698,0.0001739339,0.0001694715,0.0001935121,0.00008945207],"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":[0.0004021055,0.0002347723,0.002303697,0.0005538646,0.0001562269,0.0005376589,0.0006360095,0.6936391,0.03987195,0.05331948,0.008750462,0.1995946],"study_design_scores_gemma":[0.00004813889,0.00008437985,0.0003623625,0.00001230159,0.00003201617,0.0001698552,0.0001215552,0.9731459,0.005175937,0.01365413,0.007172517,0.00002100016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04292722,0.0009764999,0.9486771,0.0005808165,0.00008003088,0.0001542727,0.0001207017,0.0004165538,0.006066781],"genre_scores_gemma":[0.8962835,0.00062662,0.09965435,0.0001260594,0.00005620503,0.0001600928,0.000108589,0.00003877483,0.002945707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002346462,"threshold_uncertainty_score":0.005567729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05887772651769166,"score_gpt":0.3072173472953353,"score_spread":0.2483396207776437,"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."}}