{"id":"W2131773335","doi":"10.1109/icc.2013.6654791","title":"Social profile-based multicast routing scheme for delay-tolerant networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Multicast; Unicast; Geocast; Distributed computing; Delay-tolerant networking; Flooding (psychology); Protocol Independent Multicast; Wireless ad hoc network; Routing (electronic design automation); Node (physics); Source-specific multicast; Scheme (mathematics); Routing protocol; Dynamic Source Routing; Wireless Routing Protocol; Wireless; Telecommunications; 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":[0.0009374956,0.0004986402,0.0007832174,0.001243417,0.001820973,0.0006990223,0.001644499,0.000882251,0.0007825028],"category_scores_gemma":[0.002081172,0.0001493585,0.0005427165,0.0008027423,0.0004012459,0.001666195,0.001780476,0.0006666737,0.0003549618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094676,"about_ca_system_score_gemma":0.0008199919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573881,"about_ca_topic_score_gemma":0.002024794,"domain_scores_codex":[0.9993507,0.0002133968,0.00005308644,0.00008851695,0.0002170471,0.00007714498],"domain_scores_gemma":[0.9990344,0.0001840936,0.0001494089,0.0002319747,0.0002772815,0.0001228018],"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":[0.001165415,0.000759207,0.0050715,0.0004317106,0.000285854,0.001259072,0.002149558,0.1146949,0.08087511,0.165346,0.01686394,0.6110978],"study_design_scores_gemma":[0.0001194472,0.0005948443,0.001264124,0.00003835468,0.0001325203,0.001223161,0.00040948,0.9058062,0.02068653,0.04221966,0.02737145,0.0001342036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08864637,0.0006090674,0.9015924,0.0007326668,0.0002644343,0.0005366406,0.0002778233,0.000949995,0.006390571],"genre_scores_gemma":[0.8574069,0.0003134107,0.1378947,0.0001729612,0.00008486145,0.0002996854,0.0003546099,0.0000281388,0.0034448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001820973,"threshold_uncertainty_score":0.007942438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308662894110808,"score_gpt":0.2630562023806117,"score_spread":0.2321899129695309,"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."}}