{"id":"W2531066886","doi":"10.1109/tnsm.2016.2616283","title":"Surviving Multiple Failures in Multicast Virtual Networks With Virtual Machines Migration","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Qatar Foundation","keywords":"Computer science; Multicast; Computer network; Node (physics); Quality of service; Distributed computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003004385,0.0002983253,0.0002423682,0.0001657669,0.000283166,0.000166168,0.0003883989,0.00009318088,0.00001631292],"category_scores_gemma":[0.000001462157,0.0002065906,0.0000502884,0.0008051211,0.00003900965,0.000477047,0.00001952064,0.0001846201,0.0000148415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004860514,"about_ca_system_score_gemma":0.0000120082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003266865,"about_ca_topic_score_gemma":0.01597037,"domain_scores_codex":[0.9981707,0.0001230005,0.0003108791,0.0006071067,0.000279391,0.0005089192],"domain_scores_gemma":[0.9988818,0.0003953591,0.00007910677,0.0004716863,0.00005016315,0.0001219092],"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":[0.0001203344,0.0001171826,0.001827974,0.00001327198,0.00006409106,0.00001801838,0.0002247306,0.6516945,0.000006882751,0.001320103,0.0001524259,0.3444405],"study_design_scores_gemma":[0.002261983,0.0004374709,0.01191336,0.0003633208,0.00004058064,0.000009831102,0.0001225349,0.9821678,0.00002131258,0.000111946,0.00206927,0.0004805884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03882886,0.00004829496,0.957405,0.002463286,0.0005356393,0.0003710651,0.000003168739,0.0002159855,0.0001286669],"genre_scores_gemma":[0.9895333,0.0005223033,0.008510636,0.0009655919,0.0001288302,0.0001049782,0.000002488527,0.00002629948,0.0002055468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9507045,"threshold_uncertainty_score":0.8911842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008116528444978417,"score_gpt":0.1951705770791342,"score_spread":0.1870540486341558,"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."}}