{"id":"W1964409484","doi":"10.1117/12.475308","title":"<title>Capacity design studies of span-restorable mesh transport networks with shared-risk link group (SRLG) effects</title>","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Span (engineering); Limiting; Computer science; Dual (grammatical number); Network planning and design; Node (physics); Set (abstract data type); Computer network; Optical mesh network; Mesh networking; Reliability engineering; Telecommunications; Structural engineering; Wireless mesh network; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001263243,0.0005058156,0.0004353771,0.0004977462,0.0002651706,0.0004692535,0.0005630602,0.0004155256,0.002678531],"category_scores_gemma":[0.003277374,0.0002008015,0.0002960759,0.0005187832,0.0003903453,0.000795299,0.0003979617,0.0003580913,0.000230519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008533091,"about_ca_system_score_gemma":0.0004034896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176992,"about_ca_topic_score_gemma":0.00307533,"domain_scores_codex":[0.999534,0.0002372975,0.00001511888,0.0000334185,0.0001173382,0.00006275237],"domain_scores_gemma":[0.9979462,0.001394635,0.0002243082,0.00007396427,0.0003092597,0.00005147382],"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":[0.00009000424,0.00003226292,0.0005702022,0.0001524886,0.00001809772,0.00007928241,0.00003952126,0.9635589,0.007829532,0.004201471,0.0007038499,0.02272424],"study_design_scores_gemma":[0.00001152573,0.0003011147,0.0004731663,0.00002595616,0.00003111087,0.00007122083,0.00006938111,0.9849693,0.007527368,0.005127191,0.001380239,0.00001255005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.317668,0.00192922,0.6596085,0.0006555095,0.0001013464,0.0001725971,0.0002606054,0.000272613,0.01933169],"genre_scores_gemma":[0.9405119,0.0008533663,0.05521797,0.00005251527,0.00004442311,0.0001188886,0.00009839347,0.00008237163,0.003020195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002678531,"threshold_uncertainty_score":0.008960605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704774951074397,"score_gpt":0.2119431561331551,"score_spread":0.1948954066224111,"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."}}