{"id":"W3180017938","doi":"10.23919/ifipnetworking52078.2021.9472779","title":"Minimizing Effort and Risk with Network Change Deployment Planning","year":2021,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Software deployment; Computer science; Schedule; Scheduling (production processes); Task (project management); Service (business); Process (computing); Plan (archaeology); Set (abstract data type); Operations research; Process management; Operations management; Systems engineering; Software engineering; Engineering; Business","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":[0.000148501,0.0001132971,0.0001351303,0.00002090636,0.0001623753,0.0001530987,0.0001566608,0.00003737129,0.00001089594],"category_scores_gemma":[0.000006772964,0.00008547137,0.00002151706,0.00029252,0.00001649214,0.0002036991,0.0002372724,0.0001024686,0.000004737406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000104408,"about_ca_system_score_gemma":0.0000232582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004997596,"about_ca_topic_score_gemma":0.00005178186,"domain_scores_codex":[0.9990735,0.00002522607,0.0001076221,0.0003379479,0.0001500676,0.0003056216],"domain_scores_gemma":[0.9994244,0.0001098513,0.00004907468,0.0002881426,0.00003200092,0.00009653911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001303578,0.00002977082,0.9018116,0.00001249464,0.00007124722,0.0002655784,0.0009498817,0.002948856,0.00000248661,0.005350302,0.004881367,0.0836634],"study_design_scores_gemma":[0.002272601,0.0005443944,0.7107478,0.000573326,0.0001030743,0.0004906041,0.0002654824,0.2278754,0.0005360694,0.002956984,0.05241965,0.00121462],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014495,0.005714517,0.7891106,0.0005049772,0.0003837053,0.0001679291,7.065943e-7,0.000444923,0.002223196],"genre_scores_gemma":[0.6134825,0.0005985248,0.3826102,0.002259084,0.0006210351,0.00005147481,0.000004152091,0.00002519425,0.0003478987],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.412033,"threshold_uncertainty_score":0.3485422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767105054654465,"score_gpt":0.2334038110414239,"score_spread":0.2057327604948793,"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."}}