{"id":"W2050725897","doi":"10.1109/icccn.2012.6289272","title":"Buddy Routing: A Routing Paradigm for NanoNets Based on Physical Layer Network Coding","year":2012,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer network; Physical layer; Routing (electronic design automation); Coding (social sciences); Linear network coding; Node (physics); Physics; Telecommunications; Network packet; Wireless","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":[0.0009941241,0.000408464,0.0004771961,0.0008008162,0.0007070687,0.001230472,0.001421896,0.0006771216,0.0008709087],"category_scores_gemma":[0.00158563,0.0002421425,0.0004204961,0.0007351398,0.001132642,0.001814891,0.001472689,0.001217262,0.000288995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008338526,"about_ca_system_score_gemma":0.001205932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547884,"about_ca_topic_score_gemma":0.002636087,"domain_scores_codex":[0.9995496,0.000141946,0.00002746625,0.00005074463,0.0001876691,0.00004250099],"domain_scores_gemma":[0.9992969,0.0002559412,0.00007462271,0.0001815021,0.0001518265,0.0000392335],"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":[0.00009457806,0.00003579529,0.0004098876,0.0001893572,0.00005161546,0.0001646528,0.0002163543,0.1337384,0.01337512,0.751111,0.008141791,0.09247132],"study_design_scores_gemma":[0.0000501377,0.0001425468,0.0002009041,0.00006202023,0.00003625949,0.0004137325,0.00007117921,0.7080348,0.01078223,0.2345016,0.04564007,0.00006447675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005099033,0.0005676122,0.9901332,0.0004152553,0.0001348638,0.00007047116,0.00005372551,0.0003083013,0.003217664],"genre_scores_gemma":[0.3104754,0.00275973,0.6785254,0.0007599239,0.0001725382,0.0005587951,0.0003278414,0.0001328805,0.006287428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001547884,"threshold_uncertainty_score":0.00605005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805838921441911,"score_gpt":0.2593934945461638,"score_spread":0.2313351053317447,"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."}}