{"id":"W2026711760","doi":"10.1109/drcn.2011.6076890","title":"On capacity planning for minimum vulnerability","year":2011,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Network topology; Vulnerability (computing); Metric (unit); Mathematical optimization; Complex network; Network planning and design; Criticality; Graph theory; Vulnerability assessment; Optimization problem; Robust optimization; Distributed computing; Topology (electrical circuits); Mathematics; Computer network; Algorithm; Engineering; Computer security","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":[0.0002713161,0.00008939503,0.0001031073,0.00002993931,0.0001051501,0.00003427578,0.0004004506,0.00005071631,0.00004280958],"category_scores_gemma":[0.0000896097,0.00006946953,0.00005817529,0.0001048774,0.00002422349,0.000143697,0.00006444317,0.00007914026,0.00002682848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000150317,"about_ca_system_score_gemma":0.00001446923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003746094,"about_ca_topic_score_gemma":0.000004842522,"domain_scores_codex":[0.9992331,0.00002339566,0.0001236943,0.0002965315,0.0000954041,0.0002279324],"domain_scores_gemma":[0.9991197,0.0003188046,0.00003286901,0.0004187919,0.00004004237,0.0000697967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000879581,0.0004558318,0.01237777,0.00002874595,0.00002972819,0.000006893347,0.003602348,0.000285963,0.0000621334,0.900672,0.04466744,0.03772323],"study_design_scores_gemma":[0.002306346,0.001702002,0.06018821,0.00007122195,0.00001541268,0.00001535412,0.00006865894,0.1968022,0.00962877,0.7170502,0.01110997,0.001041711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1203269,0.00001237206,0.8651971,0.0000985884,0.0004026998,0.00013921,0.000001458666,0.000256736,0.01356498],"genre_scores_gemma":[0.8724633,2.751447e-7,0.1264702,0.000765803,0.00005428309,0.00002568067,6.54844e-7,0.000004812518,0.0002149693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7521363,"threshold_uncertainty_score":0.2832885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1091702982765743,"score_gpt":0.2747342599798237,"score_spread":0.1655639617032494,"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."}}