{"id":"W2046601886","doi":"10.1016/j.comcom.2012.09.003","title":"Differentiated quality-of-protection in survivable WDM mesh networks using p-structures","year":2012,"lang":"en","type":"article","venue":"Computer Communications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Wavelength-division multiplexing; Mesh networking; Telecommunications; Optoelectronics; Wireless","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":[0.0001346742,0.0001154678,0.0002072074,0.0001069833,0.00007377841,0.00001373576,0.0005261799,0.0001189599,0.000006162736],"category_scores_gemma":[0.00002220458,0.0001211749,0.0000395877,0.0004271572,0.0001053185,0.000180961,0.000360571,0.0003534302,0.000001928002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006594184,"about_ca_system_score_gemma":0.000002759426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004431017,"about_ca_topic_score_gemma":0.00003515966,"domain_scores_codex":[0.9991704,0.0001016207,0.0003309458,0.00007926998,0.00006563846,0.0002521394],"domain_scores_gemma":[0.9986832,0.0001746608,0.00005681534,0.001018431,0.00003301733,0.00003391975],"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":[0.000006562373,0.0001218706,0.01594806,0.00006033701,0.00006959481,1.531567e-7,0.000222779,0.8828624,0.002607516,0.06103612,0.00006508282,0.0369995],"study_design_scores_gemma":[0.0001417772,0.000006356412,0.04134172,0.00003564703,0.000006345436,0.000001378687,0.00002433738,0.9553747,0.0002109842,0.002496542,0.0002145036,0.0001456697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2366533,0.001380797,0.7609977,0.00002616697,0.000215431,0.0001431066,0.000001843775,0.0003884292,0.0001932463],"genre_scores_gemma":[0.8197168,0.0002046233,0.1799871,0.00000665807,0.00003893793,0.00001368568,0.00001359868,0.00001697593,0.000001677002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5830635,"threshold_uncertainty_score":0.494137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08573826848500887,"score_gpt":0.305462829160637,"score_spread":0.2197245606756281,"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."}}