{"id":"W2025349149","doi":"10.1109/tcomm.2015.2404440","title":"MINTED: &lt;italic&gt;M&lt;/italic&gt;ulticast &lt;italic&gt;VI&lt;/italic&gt;rtual &lt;italic&gt;N&lt;/italic&gt;e&lt;italic&gt;T&lt;/italic&gt;work &lt;italic&gt;E&lt;/italic&gt;mbedding in Cloud Data Centers With &lt;italic&gt;D&lt;/italic&gt;elay Constraints","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Qatar National Research Fund","keywords":"Multicast; Computer science; Computer network; Unicast; Quality of service","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":["metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01590956,0.01949856,0.01717167,0.01198225,0.01336855,0.01351772,0.04711328,0.01025952,0.002261033],"category_scores_gemma":[0.004599276,0.0209342,0.008889738,0.0289582,0.01739148,0.0227803,0.009160732,0.01429789,0.007074502],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01150503,"about_ca_system_score_gemma":0.008141891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002635815,"about_ca_topic_score_gemma":0.02256366,"domain_scores_codex":[0.9085793,0.01019786,0.02164126,0.02127798,0.01741768,0.02088595],"domain_scores_gemma":[0.9104492,0.01063587,0.0114512,0.04536163,0.00890011,0.01320197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01013082,0.05022956,0.004013067,0.004249531,0.02798019,0.006546128,0.03660872,0.03649387,0.1174378,0.1622989,0.5010768,0.04293457],"study_design_scores_gemma":[0.04178169,0.01032923,0.004432647,0.01160406,0.01060242,0.01013902,0.007379912,0.09960689,0.005193139,0.003584304,0.7572916,0.03805507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4337905,0.05804188,0.2180757,0.03066118,0.04482195,0.04504368,0.06908228,0.0270246,0.07345824],"genre_scores_gemma":[0.9036887,0.009167096,0.02922713,0.006915202,0.005344349,0.008541688,0.01784421,0.005440893,0.01383079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4698982,"threshold_uncertainty_score":0.9992161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05337180103299812,"score_gpt":0.2837657976359783,"score_spread":0.2303939966029802,"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."}}