{"id":"W2138159678","doi":"10.1109/ccece.2003.1226060","title":"A framework to use SIP in ad-hoc networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Computer network; Wireless ad hoc network; Mobile ad hoc network; Ad hoc wireless distribution service; Session Initiation Protocol; Vehicular ad hoc network; Scalability; Optimized Link State Routing Protocol; Adaptive quality of service multi-hop routing; Distributed computing; Wireless network; Routing protocol; Wireless; Network packet; Telecommunications; Server","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":[0.006639065,0.001578728,0.001134338,0.001716835,0.002865108,0.005749423,0.00481548,0.00376499,0.004335567],"category_scores_gemma":[0.004056145,0.001528334,0.002221417,0.001422043,0.004274574,0.006208034,0.005363606,0.005099068,0.003014108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310268,"about_ca_system_score_gemma":0.00213744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801166,"about_ca_topic_score_gemma":0.001840723,"domain_scores_codex":[0.9955382,0.001810173,0.0004542294,0.0004395765,0.001471274,0.0002866123],"domain_scores_gemma":[0.9982963,0.000663016,0.00009693782,0.0003329269,0.0002892599,0.0003214773],"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":[0.00003928795,0.00006598835,0.0001665577,0.000247477,0.00004322499,0.0007760624,0.0009260853,0.016462,0.002632842,0.9323796,0.006753043,0.03950775],"study_design_scores_gemma":[0.00008601607,0.0001721901,0.0001352059,0.0003520261,0.00008312019,0.00115248,0.0002379224,0.1567193,0.003785493,0.400255,0.4368722,0.0001490629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008828802,0.0007962816,0.9867114,0.0006240657,0.0002678029,0.0002867863,0.00005414833,0.001637923,0.008738714],"genre_scores_gemma":[0.04157255,0.001905994,0.944477,0.0005000925,0.0005376724,0.001282911,0.0002357771,0.0004354536,0.009052678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006639065,"threshold_uncertainty_score":0.03511113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773542408865039,"score_gpt":0.2532069419500594,"score_spread":0.235471517861409,"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."}}