{"id":"W2095682406","doi":"10.1109/tnsm.2009.03.090304","title":"Distributed adaptive diverse routing for voice-over-IP in service overlay networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Overlay network; Voice over IP; Scalability; Overlay; Quality of service; Routing (electronic design automation); Node (physics); Distributed computing; Learning automata; Path (computing); Automaton; The Internet","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":[0.000808325,0.0003671903,0.0006047241,0.0004399897,0.0006218143,0.000579385,0.001218885,0.0006341022,0.0005930346],"category_scores_gemma":[0.003189142,0.0002234875,0.0004061814,0.0003659124,0.0007723567,0.001075918,0.001114935,0.0006059642,0.0001029148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000685873,"about_ca_system_score_gemma":0.0004095794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009963352,"about_ca_topic_score_gemma":0.00135584,"domain_scores_codex":[0.9995483,0.0001423363,0.00002613043,0.0001104447,0.0001230671,0.00004972095],"domain_scores_gemma":[0.9987112,0.0007240084,0.0001569092,0.0001698068,0.0001563662,0.00008171759],"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":[0.000084755,0.00006355694,0.00104086,0.00005617868,0.0000354302,0.0001065526,0.0000983327,0.89478,0.008862512,0.03072431,0.0005539014,0.06359361],"study_design_scores_gemma":[0.000005852016,0.00002558094,0.00006859729,0.00000128106,0.000004050845,0.00001915652,0.000008549964,0.9920409,0.000557583,0.006992411,0.0002721085,0.000003880863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04860584,0.0001806815,0.94994,0.000125983,0.00001882939,0.000034065,0.00002331865,0.0002152685,0.0008559791],"genre_scores_gemma":[0.8820056,0.0001367457,0.1170325,0.00003921613,0.00002458899,0.00007733298,0.0000473151,0.00001881883,0.0006179524],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001218885,"threshold_uncertainty_score":0.004976392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085972411742452,"score_gpt":0.2455852634612177,"score_spread":0.2247255393437932,"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."}}