{"id":"W2170583945","doi":"10.1109/icns.2007.17","title":"A Routing Based Service Discovery Protocol for Ad hoc Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Computer network; Wireless Routing Protocol; Zone Routing Protocol; Dynamic Source Routing; Optimized Link State Routing Protocol; Ad hoc wireless distribution service; Ad hoc On-Demand Distance Vector Routing; Link-state routing protocol; Distributed computing; Routing protocol; Distance-vector routing protocol; Enhanced Interior Gateway Routing Protocol; Service discovery; Routing (electronic design automation); World Wide Web; Web service","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":[0.002223464,0.0007697601,0.0009039669,0.001614811,0.001969141,0.002296221,0.002181643,0.001757113,0.003528969],"category_scores_gemma":[0.002781024,0.0004231096,0.0007866106,0.002476147,0.001299161,0.003434216,0.002553866,0.002683976,0.00327855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009238317,"about_ca_system_score_gemma":0.001673236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211314,"about_ca_topic_score_gemma":0.001768165,"domain_scores_codex":[0.9974927,0.0004713109,0.0002474475,0.0002561026,0.001403994,0.0001285094],"domain_scores_gemma":[0.9989539,0.0002813201,0.0001154888,0.0002391601,0.0002825136,0.0001275461],"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":[0.0002369846,0.0002762868,0.0005854901,0.001719225,0.0002494261,0.0009060926,0.0007302013,0.007582476,0.04511697,0.3693335,0.08340298,0.4898604],"study_design_scores_gemma":[0.0001284753,0.0003147425,0.0003603602,0.0001687818,0.000189141,0.001672704,0.0001482397,0.03349712,0.01871667,0.05894166,0.8857172,0.0001449586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003584684,0.004558153,0.957151,0.001959696,0.003098019,0.001473592,0.0006828622,0.004887956,0.02260398],"genre_scores_gemma":[0.08043823,0.007978278,0.8538939,0.002425541,0.001358756,0.003310977,0.003213972,0.0005912144,0.04678915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003528969,"threshold_uncertainty_score":0.01180559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237873555753965,"score_gpt":0.2909205012676552,"score_spread":0.2685417657101156,"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."}}