{"id":"W2059577155","doi":"10.1109/tnsm.2012.061212.110032","title":"Optimal Functionality Placement for Multiplay Service Provider Architectures","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Computer science; Service provider; Computer network; Enhanced Data Rates for GSM Evolution; Distributed computing; Integer programming; Service (business); Key (lock); Modular design; Edge device; Set (abstract data type); Replication (statistics); Cloud computing; Computer security; Telecommunications; Operating system","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":[0.0006005416,0.0002597768,0.0001962996,0.00008851284,0.0005247256,0.0001639265,0.0003553693,0.00006380081,0.0000350749],"category_scores_gemma":[6.483521e-7,0.0002383526,0.00008845828,0.0004000384,0.00001612446,0.0003224701,0.00002228448,0.0001669038,0.00003125531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006728349,"about_ca_system_score_gemma":0.00002305175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006792151,"about_ca_topic_score_gemma":0.0001503206,"domain_scores_codex":[0.9981797,0.0001078619,0.0003073332,0.0004565018,0.0003431425,0.0006054307],"domain_scores_gemma":[0.9989724,0.0001744241,0.00008251973,0.0004966227,0.00009437545,0.0001796186],"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":[0.0003195792,0.0008964515,0.00005588177,0.0008239131,0.0005001725,0.000003063122,0.002479188,0.8607385,0.00003418144,0.005904328,0.003043809,0.125201],"study_design_scores_gemma":[0.005359608,0.0005858635,0.004751546,0.0002256241,0.0004589313,0.00002780985,0.001615107,0.7809516,0.00137093,0.001223397,0.2019233,0.001506354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005074442,0.00009448914,0.9863184,0.00550847,0.001026201,0.001009017,0.00001264173,0.0001658347,0.000790517],"genre_scores_gemma":[0.7767162,0.00007587895,0.1963408,0.02453756,0.000501066,0.001017589,0.00001679677,0.00003402187,0.0007600879],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7899776,"threshold_uncertainty_score":0.9719736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949164885776538,"score_gpt":0.2790066964931943,"score_spread":0.2495150476354289,"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."}}