{"id":"W2119364164","doi":"10.1109/dnsr.2004.1344712","title":"Performance evaluation of service discovery strategies in ad hoc networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Wireless ad hoc network; Service discovery; Computer network; Vehicular ad hoc network; Mobile ad hoc network; Service (business); Node (physics); Focus (optics); Query language; Distributed computing; Information retrieval; World Wide Web; Web service; Wireless; Telecommunications; Network packet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005537301,0.001356829,0.001123037,0.002159803,0.0007389886,0.001151277,0.001504213,0.001053965,0.0006410457],"category_scores_gemma":[0.01640543,0.0002421853,0.0002420657,0.001827413,0.0007859984,0.001803642,0.0007922091,0.0004772464,0.0002169663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002274456,"about_ca_system_score_gemma":0.001047857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003244217,"about_ca_topic_score_gemma":0.001901706,"domain_scores_codex":[0.9947664,0.002289874,0.0002688326,0.0003489316,0.001887284,0.0004386708],"domain_scores_gemma":[0.9824493,0.01296214,0.001032363,0.0007773046,0.002254362,0.0005245353],"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":[0.002630533,0.0007674967,0.01215338,0.0003966081,0.0002511482,0.000204334,0.0002760413,0.8549504,0.02518654,0.006692207,0.001096451,0.0953948],"study_design_scores_gemma":[0.00007410147,0.001553516,0.00179866,0.00001336532,0.00006711322,0.0001726358,0.0001390895,0.9819755,0.01245775,0.001262734,0.0004611817,0.00002437653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163738,0.003144296,0.07360697,0.0003303549,0.00007723545,0.0002088986,0.000172586,0.0006981516,0.005387625],"genre_scores_gemma":[0.9901032,0.0003276637,0.009041304,0.00002056683,0.00001345198,0.00004507124,0.00009823455,0.00001951009,0.0003309275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005537301,"threshold_uncertainty_score":0.02928442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097804268499952,"score_gpt":0.2605717694696541,"score_spread":0.2395937267846546,"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."}}