{"id":"W4360930489","doi":"10.1007/978-3-031-29126-5_1","title":"Cost-Aware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Network virtualization; Computer science; Computer network; Virtual network; Distributed computing; Heuristic; The Internet; Network topology; Node (physics); Embedding; Virtualization; Cloud computing; Artificial intelligence; Engineering","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":[0.0005568213,0.0002577078,0.0004555312,0.0002822704,0.0003427178,0.0001552731,0.001981067,0.000241697,2.559837e-7],"category_scores_gemma":[0.0000553832,0.0002219128,0.00021299,0.0003373589,0.0002547612,0.0003034168,0.0009303263,0.0003811426,1.73253e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005905814,"about_ca_system_score_gemma":0.0001092107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003819377,"about_ca_topic_score_gemma":0.00005825907,"domain_scores_codex":[0.9985728,0.00001051483,0.0007428181,0.0001792142,0.0002118914,0.0002828198],"domain_scores_gemma":[0.9979336,0.0009314765,0.0004900903,0.0004555432,0.0001532164,0.00003608793],"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":[0.000001247572,0.000006281939,0.00000483136,0.00007326416,0.00003984364,7.131294e-8,0.0009012094,0.8324789,4.812344e-7,0.02009477,0.0000494015,0.1463497],"study_design_scores_gemma":[0.0002891603,0.00005752842,0.00002707453,0.000522723,0.00002111052,0.000003310816,0.000004759037,0.9952205,0.00002106332,0.001029999,0.002577397,0.0002253999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006636608,0.0002488712,0.9978574,0.0002125286,0.0007752177,0.0006298107,0.0000417737,0.00007782209,0.0000902228],"genre_scores_gemma":[0.01028663,0.0001438229,0.9891373,0.0001167139,0.0001425803,0.00005587711,0.00004904364,0.00002467628,0.00004334016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1627416,"threshold_uncertainty_score":0.904934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372674556689983,"score_gpt":0.2622992887833708,"score_spread":0.2285725432164709,"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."}}