{"id":"W1862224885","doi":"10.1109/icc.2002.997344","title":"Finding protection cycles in DWDM networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Network topology; Scalability; Computer science; Wavelength-division multiplexing; Mesh networking; Ring (chemistry); Network Access Protection; Optical mesh network; State (computer science); Ring network; Distributed computing; Algorithm; Topology (electrical circuits); Computer network; Wireless mesh network; Mathematics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003830195,0.0003932667,0.0003763034,0.0005132623,0.0004465356,0.0007285484,0.0006125681,0.0006524698,0.001538526],"category_scores_gemma":[0.001526408,0.0003732131,0.0002270001,0.0007561003,0.0004904746,0.001448983,0.0008114973,0.0004225784,0.0001833108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004729666,"about_ca_system_score_gemma":0.0004586678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145588,"about_ca_topic_score_gemma":0.00081094,"domain_scores_codex":[0.9997931,0.00005053587,0.0000133121,0.00005632713,0.00005570558,0.0000310546],"domain_scores_gemma":[0.9996424,0.0002191476,0.0000473145,0.00003428166,0.00003782523,0.00001914248],"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":[0.0001787744,0.00005491633,0.001330634,0.0003222523,0.00002557398,0.0003297246,0.0001671076,0.6041011,0.01216198,0.1159313,0.002198888,0.2631978],"study_design_scores_gemma":[0.00003089397,0.00006776218,0.0002428377,0.00001622325,0.00001076991,0.0001405575,0.00004955933,0.8755918,0.007200714,0.1121737,0.004464704,0.00001050823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07394343,0.0006938862,0.9217207,0.0002582119,0.00003313975,0.00006390297,0.0000821156,0.0002099693,0.002994605],"genre_scores_gemma":[0.6049771,0.001326766,0.3888747,0.00008419828,0.00005294522,0.0001055233,0.0002233407,0.00006128606,0.004294153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001538526,"threshold_uncertainty_score":0.005146861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448741517288924,"score_gpt":0.2191505210332045,"score_spread":0.2046631058603153,"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."}}