{"id":"W2066495719","doi":"10.1145/2653481.2653485","title":"Mobility-based opportunistic routing for mobile ad-hoc networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer network; Computer science; Wireless Routing Protocol; Routing protocol; Destination-Sequenced Distance Vector routing; Wireless ad hoc network; Dynamic Source Routing; Optimized Link State Routing Protocol; Link-state routing protocol; Distributed computing; Mobility model; Network packet; Wireless; Telecommunications","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":[0.0009215657,0.0008654543,0.0007866661,0.0008506431,0.0007833373,0.001106381,0.001787268,0.0009275268,0.002004987],"category_scores_gemma":[0.002751885,0.0003184792,0.0005463757,0.001771372,0.0006405138,0.001592545,0.001253407,0.001165589,0.001100209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008904524,"about_ca_system_score_gemma":0.001024808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690556,"about_ca_topic_score_gemma":0.002032694,"domain_scores_codex":[0.9990073,0.0003621133,0.00006725989,0.00008295687,0.0004210237,0.00005945443],"domain_scores_gemma":[0.9990576,0.0004042746,0.0001091135,0.0001488492,0.0002312951,0.00004886433],"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":[0.0001632319,0.0001179652,0.001164601,0.001602554,0.0002141095,0.001184339,0.000322707,0.1192956,0.01534833,0.2224101,0.03910061,0.5990758],"study_design_scores_gemma":[0.0001060177,0.0002607552,0.001175369,0.0004616168,0.0001542371,0.001779694,0.0002147745,0.5652285,0.00400622,0.1478585,0.2785892,0.0001651287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003764732,0.01599307,0.9603531,0.001284539,0.001215363,0.0005961788,0.0003294901,0.001765512,0.01469789],"genre_scores_gemma":[0.3029654,0.03949828,0.6292905,0.0009551297,0.00162055,0.002621977,0.001873087,0.0003492585,0.02082581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002004987,"threshold_uncertainty_score":0.006707311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912927206997347,"score_gpt":0.2522684196996947,"score_spread":0.2331391476297212,"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."}}