{"id":"W2085305001","doi":"10.1109/lcomm.2011.110711.111382","title":"Availability Analytical Model for Permanent Dedicated Path Protection in WDM Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Unavailability; Blocking (statistics); Path protection; Computer science; Wavelength-division multiplexing; Path (computing); Computer network; Connection (principal bundle); Distributed computing; Reliability engineering; Mathematics; Engineering","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":[0.0001854335,0.0001358058,0.0001580075,0.00009913598,0.00008454232,0.00001051456,0.000655538,0.0001297899,0.000004796213],"category_scores_gemma":[0.00005899142,0.0001432083,0.00005542991,0.0003011337,0.0002416233,0.0001252539,0.00008998301,0.0004586765,0.000009219869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758838,"about_ca_system_score_gemma":0.000007010597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001301153,"about_ca_topic_score_gemma":0.00006288647,"domain_scores_codex":[0.999131,0.00003224489,0.0003093014,0.0001701513,0.00006841152,0.00028895],"domain_scores_gemma":[0.9985077,0.00009568968,0.00003180068,0.001285094,0.00003460635,0.00004515543],"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":[0.0000235075,0.0001269884,0.0006361714,0.00003149968,0.00003072697,9.335216e-7,0.0002785359,0.9844906,0.00165555,0.00187845,0.001617556,0.009229472],"study_design_scores_gemma":[0.000172066,0.00001343997,0.00104059,0.00002116019,0.00001264351,0.000001127434,0.00002091094,0.9969417,0.00009336018,0.001290835,0.0002407803,0.0001513759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08706794,0.000146723,0.909481,0.001403236,0.00007578484,0.0006770407,0.000005644761,0.0007305774,0.0004120514],"genre_scores_gemma":[0.896271,0.0001483618,0.1028255,0.0001572394,0.0000145107,0.0005361982,0.0000141927,0.00002660985,0.000006445479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.809203,"threshold_uncertainty_score":0.5839863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06751356478369025,"score_gpt":0.2608173208535491,"score_spread":0.1933037560698588,"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."}}