{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007516395,0.000102532,0.0001309911,0.00006248219,0.00002855498,0.000106641,0.0005568161,0.00006212383,0.00001542279],"category_scores_gemma":[0.000005702592,0.00009076318,0.0000250471,0.000717298,0.00002113787,0.002091584,0.0001491416,0.0001190833,0.00001021744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009717245,"about_ca_system_score_gemma":0.0002782779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007292615,"about_ca_topic_score_gemma":0.001338982,"domain_scores_codex":[0.9987747,0.00005986636,0.0002573375,0.0002537354,0.0004306761,0.0002236892],"domain_scores_gemma":[0.9992186,0.00003493371,0.00008618888,0.0004771793,0.0001532101,0.00002989133],"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":[0.000004974083,0.00003710456,0.0004397142,0.000009313745,0.000003486846,6.999855e-7,0.0002759307,0.9323274,0.00003846183,0.01644231,0.00001459936,0.05040594],"study_design_scores_gemma":[0.0006270125,0.00006419242,0.03380042,0.00006931309,0.000004911392,0.000002527477,0.0001012887,0.9617059,0.0002308551,0.003255759,0.00002523065,0.0001126125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6906043,0.0006206324,0.302965,0.0002583828,0.0001921536,0.0002412345,1.733362e-7,0.00004759221,0.005070531],"genre_scores_gemma":[0.9931445,0.0001500355,0.006397321,0.0002097232,0.00003307495,0.00003153401,0.000002423841,0.00000526305,0.0000261106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025402,"threshold_uncertainty_score":0.3701215,"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."}}