{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002816385,0.001497676,0.0009164792,0.001126259,0.0008635976,0.001896637,0.001363393,0.001055764,0.003237409],"category_scores_gemma":[0.00892288,0.0009574029,0.0008596846,0.001018869,0.00111754,0.002115969,0.001793461,0.001497162,0.0003583333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849258,"about_ca_system_score_gemma":0.003236398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006960667,"about_ca_topic_score_gemma":0.008008735,"domain_scores_codex":[0.9978599,0.0009013141,0.00008549744,0.0003178943,0.0005447799,0.0002905335],"domain_scores_gemma":[0.9965456,0.002279063,0.0004382668,0.0002502838,0.0002999427,0.0001867849],"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":[0.00006462688,0.00006011617,0.00103709,0.00007477349,0.00003179425,0.00007858263,0.0001441295,0.9529272,0.0010183,0.01231406,0.001061895,0.0311874],"study_design_scores_gemma":[0.00002861745,0.0001005162,0.0004862882,0.00002342972,0.00002909146,0.00004223472,0.0001489212,0.9788761,0.001076095,0.01658625,0.002587034,0.00001539535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03938487,0.0002808357,0.9509628,0.0008954113,0.00005413639,0.000320697,0.0001096136,0.0004302645,0.007561301],"genre_scores_gemma":[0.6067277,0.0003608849,0.3878898,0.0001697972,0.00003641655,0.0003635673,0.0002124746,0.0002196197,0.004019847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006960667,"threshold_uncertainty_score":0.0148946,"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."}}