{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027126,0.0003056342,0.0004560835,0.00007974486,0.00005129588,0.00002507244,0.0005454886,0.0002294318,0.00004011086],"category_scores_gemma":[0.0003261126,0.0002456179,0.0002848171,0.0003523153,0.0002967668,0.0002648399,0.0000609431,0.0003985122,0.000007088907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001215802,"about_ca_system_score_gemma":0.00000558373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.017379e-7,"about_ca_topic_score_gemma":1.468738e-7,"domain_scores_codex":[0.99852,3.264877e-8,0.0004383148,0.0002659913,0.0004109849,0.0003646444],"domain_scores_gemma":[0.9988983,0.0002337814,0.0001697698,0.00007785183,0.0005477052,0.00007265336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001319476,0.0002365614,0.000497034,0.002688066,0.00288544,0.000001577828,0.0003685579,0.06145409,0.1082802,0.7703295,0.04468978,0.008437295],"study_design_scores_gemma":[0.001918542,0.001187697,0.0007818618,0.001794332,0.0007780864,0.00002592122,0.0003670041,0.9219157,0.03883407,0.00679025,0.02424845,0.001358094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9742913,0.002969616,0.009626612,0.0003589397,0.0004874812,0.0008321231,0.00004382023,0.0006424566,0.01074769],"genre_scores_gemma":[0.4917488,0.002970265,0.5041143,0.00002755236,0.0004725346,0.0001667206,0.000005986808,0.000143377,0.0003504435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8604616,"threshold_uncertainty_score":0.9999996,"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."}}