{"id":"W2110711283","doi":"10.1109/icc.2013.6654892","title":"Robust network design","year":2013,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Computer science; Markov chain; Mathematical optimization; Network packet; Network topology; Robust optimization; Markov process; Topology (electrical circuits); Mathematics; Computer network; Machine learning","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008655463,0.00008334134,0.0001101165,0.00001833482,0.00006648254,0.00006176838,0.0001296912,0.00001335047,0.02012528],"category_scores_gemma":[5.861501e-7,0.00006851595,0.00006966255,0.0001636857,0.00001504857,0.00008815348,0.00004744158,0.00006002289,0.0005995852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006079118,"about_ca_system_score_gemma":0.000008494955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004179083,"about_ca_topic_score_gemma":0.000002366174,"domain_scores_codex":[0.9994431,0.00003413528,0.0001199671,0.0001290426,0.00006282544,0.0002109278],"domain_scores_gemma":[0.9996174,0.00005003577,0.00003307883,0.0002096663,0.0000398295,0.00004998141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001091115,0.00003968873,0.02001347,5.92214e-7,0.00007714848,1.653862e-7,0.00001276953,0.03500559,0.00007873631,0.08357051,0.8131219,0.04807841],"study_design_scores_gemma":[0.0003102277,0.00007219519,0.008993333,0.00002121675,0.00008150243,5.742459e-7,0.0001106979,0.3878859,0.001841569,0.5555892,0.04435999,0.0007335906],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001579335,0.00001491027,0.9039183,0.000114073,0.0000215455,0.000163073,1.57311e-7,0.0001286412,0.09405995],"genre_scores_gemma":[0.8260385,5.713679e-7,0.1696187,0.00009932501,0.0004986919,0.0000685903,0.000005694962,0.00001022606,0.003659702],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8244591,"threshold_uncertainty_score":0.9807705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347110334615506,"score_gpt":0.2308977188098749,"score_spread":0.1974266154637198,"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."}}