{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002183218,0.001412406,0.001112217,0.001015962,0.0005333031,0.00175087,0.001734655,0.00153374,0.004013014],"category_scores_gemma":[0.005460696,0.0005176535,0.0009769854,0.0006682803,0.001337932,0.002060539,0.002007359,0.001381569,0.00102281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476879,"about_ca_system_score_gemma":0.0009828489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001041102,"about_ca_topic_score_gemma":0.0007562551,"domain_scores_codex":[0.9982725,0.0005564678,0.00007446273,0.0004401275,0.0005512949,0.000105067],"domain_scores_gemma":[0.9980895,0.0009180543,0.0003187936,0.0002559416,0.0003618014,0.00005589928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005308569,0.00002174717,0.0002125508,0.0001946386,0.00006694208,0.0000805313,0.00003776608,0.8228177,0.004136574,0.1247969,0.001649043,0.04593258],"study_design_scores_gemma":[0.00001399667,0.0000635543,0.00006325293,0.00002949073,0.00001992169,0.00006035418,0.0000129014,0.9318823,0.001881762,0.05883876,0.007118185,0.00001554993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009389358,0.0002002907,0.9960395,0.00009547552,0.00003851605,0.00003302776,0.00003382815,0.00006156468,0.002558806],"genre_scores_gemma":[0.4023293,0.00252734,0.5812858,0.0004599452,0.0003495945,0.0008969719,0.0004290946,0.0002444909,0.01147751],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004013014,"threshold_uncertainty_score":0.01342481,"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."}}