{"id":"W2115026050","doi":"10.1504/ijwmc.2013.053040","title":"On routing protocols using mobile social networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Wireless and Mobile Computing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Computer network; Routing protocol; Wireless Routing Protocol; Node (physics); Link-state routing protocol; Dynamic Source Routing; Destination-Sequenced Distance Vector routing; Software deployment; Distributed computing; Policy-based routing; Mobile social network; Routing (electronic design automation); Mobile computing","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":[],"consensus_categories":[],"category_scores_codex":[0.0004434712,0.0001551678,0.0002683944,0.0001193892,0.0002041534,0.0005016087,0.0006928917,0.00008065866,0.00001906906],"category_scores_gemma":[0.000006378968,0.0001328984,0.0001108803,0.000106445,0.00005110433,0.0004097267,0.0002893894,0.0003280866,0.000002758676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006987279,"about_ca_system_score_gemma":0.00008044691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001901718,"about_ca_topic_score_gemma":2.198588e-7,"domain_scores_codex":[0.9984056,0.00006763081,0.0006040487,0.0002073659,0.0004579446,0.0002573721],"domain_scores_gemma":[0.9984204,0.0001977551,0.0006362821,0.0001057294,0.0005223026,0.0001175925],"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":[0.0000258574,0.0001384393,0.001220991,0.000008228127,0.00009157021,0.00008107491,0.0007557042,0.04383119,0.0002018232,0.006474479,0.0005579269,0.9466127],"study_design_scores_gemma":[0.0005496562,0.0001832774,0.0003362729,0.0002643028,0.000005339186,0.0002342683,0.00009589567,0.9970976,0.00003440114,0.0006996618,0.0003544374,0.0001449206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3526319,0.00004087163,0.6457129,0.00006222921,0.0006184318,0.0007358598,5.400606e-7,0.0000201732,0.0001771829],"genre_scores_gemma":[0.9930307,0.000009776432,0.00539292,0.0002927779,0.001176966,0.00006864491,9.11946e-7,0.00001201042,0.00001534914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9532664,"threshold_uncertainty_score":0.5419439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218246247946045,"score_gpt":0.3035615761572218,"score_spread":0.2817369513626173,"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."}}