{"id":"W2009583971","doi":"10.1109/drcn.2009.5340023","title":"Improved availability models for p-cycle-based network design","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Concordia University","funders":"","keywords":"Unavailability; Provisioning; Computer science; Scalability; Control reconfiguration; Distributed computing; Service (business); Path (computing); Computer network; Network planning and design; Dual (grammatical number); Work (physics); Network service; Reliability engineering; Engineering; Embedded system","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":[0.0001530629,0.0001669304,0.0001881227,0.00002353868,0.0000500658,0.00001855293,0.0001854557,0.0001458384,0.00001778852],"category_scores_gemma":[0.00005894453,0.0001508655,0.00006676115,0.0001701028,0.00003935171,0.0001318228,0.00001167836,0.0001307679,0.000006610699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006640525,"about_ca_system_score_gemma":0.000009652719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.725594e-7,"about_ca_topic_score_gemma":0.000001752868,"domain_scores_codex":[0.9990581,0.000007981951,0.0002057675,0.0002089399,0.00005988761,0.0004592819],"domain_scores_gemma":[0.9992771,0.0002518068,0.00001491337,0.0003647521,0.00003648857,0.00005496891],"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":[0.00002729665,0.00001361742,0.000001389529,0.000008693879,0.000005479792,3.840287e-7,0.000001737149,0.9553872,0.0004572931,0.00525362,0.001838061,0.03700517],"study_design_scores_gemma":[0.000254648,0.0001071716,0.00001037513,0.000005901057,0.000005883646,2.431051e-7,0.000002463663,0.8167156,0.001506242,0.1808539,0.0003764083,0.000161208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006017248,0.0002555991,0.9935968,0.0001991708,0.00009386999,0.0006003589,0.000002033319,0.002955879,0.001694584],"genre_scores_gemma":[0.3845735,0.00001067177,0.6151127,0.0001441046,0.00005148678,0.00005112056,0.000002184468,0.00001740357,0.00003679846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3839718,"threshold_uncertainty_score":0.6152118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102389886612589,"score_gpt":0.2283567307129432,"score_spread":0.2073328318468173,"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."}}