{"id":"W2162856822","doi":"10.1109/icc.2008.36","title":"Use of Network Families in Survivable Network Design and Optimization","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Survivability; Computer science; Scheme (mathematics); Variety (cybernetics); Network planning and design; Telecommunications network; Distributed computing; Simple (philosophy); Computer network; Network simulation; Random graph; Network formation; Theoretical computer science; Mathematics; Artificial intelligence","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":[0.00008119427,0.0001028915,0.0001824879,0.00004246868,0.00003095787,0.000006408709,0.00006161455,0.00009604935,0.00001081383],"category_scores_gemma":[0.00004721887,0.0000987666,0.00001229703,0.0004364268,0.00009303539,0.0001946856,0.00004065364,0.00009975863,0.000001106745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001714779,"about_ca_system_score_gemma":0.000003980419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001121436,"about_ca_topic_score_gemma":0.00001437977,"domain_scores_codex":[0.9993621,0.00001809287,0.0001940075,0.0001061962,0.00005977108,0.0002597989],"domain_scores_gemma":[0.9995009,0.0002986651,0.00001661081,0.0001430901,0.00001794359,0.00002279355],"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":[0.000007556909,0.00000429841,0.003793618,0.000007443055,0.000006399152,0.000003548874,0.0000111717,0.9926453,0.00001473898,0.00119945,0.001182268,0.001124193],"study_design_scores_gemma":[0.00009783342,0.0000224929,0.001076805,0.00002404092,0.000002373993,0.000003043166,0.0000132863,0.9972822,0.0001192331,0.0009794917,0.0002673857,0.0001117899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03046414,0.0007147976,0.967725,0.000009298694,0.0000607936,0.0001515757,2.97456e-7,0.0004180109,0.0004560369],"genre_scores_gemma":[0.1703514,0.004200373,0.825336,0.00001153172,0.00002564441,0.000008896835,0.000001675997,0.00001845184,0.00004603994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1423891,"threshold_uncertainty_score":0.4027585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985026684496386,"score_gpt":0.2023883358975215,"score_spread":0.1725380690525576,"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."}}