{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002746505,0.00192932,0.001443681,0.003133903,0.001928188,0.00298361,0.0021967,0.002178721,0.003938408],"category_scores_gemma":[0.008430908,0.0007990649,0.001112658,0.004894713,0.003432963,0.008995876,0.003954928,0.003491478,0.001655587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002038207,"about_ca_system_score_gemma":0.001221016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001805812,"about_ca_topic_score_gemma":0.001410129,"domain_scores_codex":[0.9971417,0.001126389,0.0002203929,0.0003298515,0.0009907314,0.000190978],"domain_scores_gemma":[0.9949961,0.003194943,0.0003020118,0.0007012634,0.0006887233,0.0001170928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009841914,0.00006131895,0.0003293155,0.000464199,0.00008735593,0.0003417597,0.0005050605,0.05003154,0.002146404,0.8288088,0.0132075,0.1039183],"study_design_scores_gemma":[0.00007826113,0.0001952047,0.0002524701,0.0004299238,0.00009024551,0.0007500852,0.0002060829,0.2291349,0.002451363,0.6319241,0.134368,0.0001194401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005693689,0.01619845,0.9334316,0.00426678,0.001682958,0.0004743843,0.0001707891,0.0005664575,0.03751487],"genre_scores_gemma":[0.3177006,0.06368271,0.565543,0.003508291,0.006199089,0.003880904,0.001068479,0.0004730816,0.03794379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003938408,"threshold_uncertainty_score":0.01478833,"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."}}