{"id":"W2172074131","doi":"10.1109/icton.2008.4598656","title":"Optimization for minimizing fault localization time in all-optical networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Integer programming; Fault (geology); Linear programming; Optimization problem; Protocol (science); Matching (statistics); Mathematical optimization; Computer network; Distributed computing; Real-time computing; Algorithm; Mathematics","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":[0.00005149449,0.0001267444,0.0001576362,0.00007800449,0.00003780091,0.000009961749,0.00009815464,0.0001885175,0.0000404402],"category_scores_gemma":[0.00009440849,0.0001274208,0.00003069285,0.0002655409,0.00005507125,0.0001549934,0.00002579838,0.000116747,0.00001276658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007273784,"about_ca_system_score_gemma":0.000004007607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.367808e-7,"about_ca_topic_score_gemma":0.000003062671,"domain_scores_codex":[0.9992203,0.000004966907,0.0002348232,0.0001571214,0.00007359155,0.0003092132],"domain_scores_gemma":[0.9996512,0.0001315058,0.00001351331,0.0001344232,0.00003083318,0.00003852254],"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":[0.000007830929,0.00001139369,0.00006970792,0.000007587718,0.00000662827,0.000003301996,0.00001398182,0.9943109,0.00004509185,0.001043348,0.001213256,0.003266962],"study_design_scores_gemma":[0.0002931415,0.00002494706,0.00002694412,0.00001344357,0.000004487998,0.000005051954,0.00001338058,0.9981451,0.0002603327,0.0002397167,0.0008143536,0.0001591026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003143819,0.0001312063,0.9931184,0.00007418652,0.00007599473,0.0002624739,6.647167e-7,0.001043231,0.00215],"genre_scores_gemma":[0.2958206,0.0003512301,0.7033383,0.0001109188,0.0000726134,0.0000707198,0.00005088779,0.0000526179,0.0001320643],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2926768,"threshold_uncertainty_score":0.5196071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658260643655866,"score_gpt":0.2304349246470497,"score_spread":0.2138523182104911,"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."}}