{"id":"W2074815468","doi":"10.1109/qbsc.2012.6221378","title":"Comparison of traditional and opportunistic multihop routing in wireless networking scalability","year":2012,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer network; Computer science; Scalability; Routing protocol; Distributed computing; Multipath routing; Routing (electronic design automation); Link-state routing protocol; Dynamic Source Routing; Wireless network; Static routing; Geographic routing; Hierarchical routing; Wireless Routing Protocol; 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":[0.003545243,0.0004504622,0.0004327193,0.000740831,0.0003570773,0.0005433666,0.0006690236,0.0004549651,0.0007142908],"category_scores_gemma":[0.01108791,0.0001803116,0.0002741889,0.0007095625,0.000645045,0.001723542,0.0007862879,0.0002747521,0.00006589549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006324141,"about_ca_system_score_gemma":0.0004994036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009168491,"about_ca_topic_score_gemma":0.001435859,"domain_scores_codex":[0.9981195,0.0007571197,0.00008526284,0.0001017361,0.0007739431,0.0001622897],"domain_scores_gemma":[0.9861859,0.01143445,0.0005058165,0.000689164,0.0009146819,0.0002699319],"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":[0.001441689,0.0003926399,0.01633641,0.0005724471,0.0002696843,0.0008965658,0.0004616934,0.7438405,0.04939084,0.02584327,0.001691141,0.158863],"study_design_scores_gemma":[0.0001211464,0.002017903,0.01257288,0.00007777461,0.0001779216,0.0009846574,0.0005165259,0.9558225,0.01675459,0.008060834,0.002835325,0.00005790934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858282,0.006846458,0.08828628,0.0007616739,0.0001447659,0.0001559806,0.0001226723,0.0004217486,0.01743225],"genre_scores_gemma":[0.9935467,0.0007606899,0.005119897,0.00003213613,0.00004057142,0.00002895524,0.00002958823,0.00001831039,0.0004230379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003545243,"threshold_uncertainty_score":0.01874924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08730446526821985,"score_gpt":0.3057761594959342,"score_spread":0.2184716942277144,"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."}}