{"id":"W2137943599","doi":"10.1109/cse.2009.436","title":"Choosing Service Directory Nodes in Proposed Service Discovery Model for Mobile Ad Hoc Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Directory; Computer network; Service discovery; Mobile ad hoc network; Wireless ad hoc network; Directory service; Service (business); Node (physics); Distributed computing; Adaptive quality of service multi-hop routing; Ad hoc wireless distribution service; Mobile computing; Optimized Link State Routing Protocol; World Wide Web; Routing protocol; Routing (electronic design automation); Web service; Telecommunications; Engineering; Operating system; 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":[0.001793392,0.0004912072,0.000703506,0.000804989,0.001236791,0.002202325,0.00175918,0.001612755,0.001510926],"category_scores_gemma":[0.004469687,0.0003607142,0.000605918,0.001577361,0.001121641,0.003420291,0.001007737,0.0009549027,0.0005640854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948649,"about_ca_system_score_gemma":0.002163471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003126525,"about_ca_topic_score_gemma":0.004547612,"domain_scores_codex":[0.998502,0.000586503,0.000064546,0.0002133233,0.0004619721,0.0001716723],"domain_scores_gemma":[0.9986349,0.000671059,0.0001316662,0.000151951,0.0003133188,0.00009714406],"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":[0.0002497906,0.00008437705,0.001344478,0.000183563,0.0000377634,0.000333564,0.0004955063,0.6004494,0.006078637,0.3446874,0.00295177,0.04310369],"study_design_scores_gemma":[0.00002383165,0.0000593506,0.00009019326,0.00001295364,0.0000203988,0.0001701548,0.00007204968,0.9597656,0.0009845793,0.03557022,0.003209187,0.00002162649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04720924,0.0005478823,0.944249,0.0008557441,0.0001038493,0.0001042196,0.0001145587,0.000244333,0.0065712],"genre_scores_gemma":[0.7840918,0.0009628414,0.2043829,0.0002102779,0.0001181289,0.0003352581,0.0001966454,0.000074499,0.00962769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003126525,"threshold_uncertainty_score":0.01413852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750884713125131,"score_gpt":0.254354289566085,"score_spread":0.2368454424348337,"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."}}