{"id":"W2091055510","doi":"10.1007/s11235-013-9814-y","title":"Design and modeling of reliable networks (foreword)","year":2013,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Survivability; Computer science; Multicast; Reliability (semiconductor); Resilience (materials science); Anycast; Process (computing); Network planning and design; Operations research; Computer network; Telecommunications; Routing (electronic design automation); Engineering","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":[0.0002475955,0.00006832855,0.0001303906,0.00004211692,0.00005611027,0.0000319633,0.0002086542,0.00007034903,0.000008702757],"category_scores_gemma":[0.000007663508,0.00006382578,0.00001335027,0.0001134358,0.00002667516,0.0001494664,0.00003578497,0.0001167725,0.00001480944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001479953,"about_ca_system_score_gemma":0.000005235553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199166,"about_ca_topic_score_gemma":0.000002346834,"domain_scores_codex":[0.9994608,0.00004869605,0.0002412223,0.00006482525,0.00006597469,0.0001184746],"domain_scores_gemma":[0.9993821,0.00008220926,0.0000350046,0.0004063119,0.00005776245,0.00003665594],"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":[8.339294e-7,0.000004597358,0.0001203326,0.00004222221,0.000008101422,2.931135e-8,0.0002178015,0.998077,0.0003848393,0.0002792065,0.0004749931,0.0003900454],"study_design_scores_gemma":[0.0000689214,0.000009621464,0.00009583857,0.00006356871,0.000003209289,0.000004060679,0.0001585916,0.9989855,0.0001158974,0.0000741538,0.0003509294,0.00006972621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1896368,0.01472157,0.7915794,0.00003914755,0.0002689075,0.0006025859,4.257024e-7,0.0002320202,0.002919097],"genre_scores_gemma":[0.9946059,0.001611143,0.003641261,0.000006180411,0.00002673452,0.00006229614,0.000002961579,0.00001262506,0.00003090139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8049691,"threshold_uncertainty_score":0.260274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233069350644677,"score_gpt":0.2160432966215179,"score_spread":0.1937126031150712,"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."}}