{"id":"W2028550645","doi":"10.1109/netwks.2010.5624936","title":"Design of path-segment-protecting p-cycles in survivable WDM mesh networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Survivability; Scalability; Column generation; Computer science; Distributed computing; Network planning and design; Wavelength-division multiplexing; Path protection; Path (computing); Routing (electronic design automation); Network Access Protection; Computer network; Mathematical optimization; 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":[0.0002934479,0.000138809,0.0002088438,0.00006927765,0.00002835306,0.00001124936,0.0002052613,0.0001915424,0.00006428919],"category_scores_gemma":[0.0001417598,0.0001295521,0.00002582814,0.0003126134,0.00006070868,0.0001157994,0.00006938025,0.000620581,0.000006481284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002211622,"about_ca_system_score_gemma":0.00000455572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001875096,"about_ca_topic_score_gemma":0.00005804091,"domain_scores_codex":[0.9991235,0.00001810595,0.0002638368,0.0001497115,0.00008971409,0.0003551993],"domain_scores_gemma":[0.9993653,0.0002773983,0.0000283277,0.000277425,0.00002012181,0.00003140248],"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":[0.000006940872,0.00001616417,0.001005515,0.00002095148,0.00001052415,0.000004726232,0.00002100015,0.9325891,0.03401006,0.003343856,0.00007413697,0.02889702],"study_design_scores_gemma":[0.0002173882,0.000029287,0.0005684273,0.00003421816,0.000003192554,0.000002082915,0.000138339,0.9752346,0.0199315,0.003579159,0.00005485326,0.0002070067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1173224,0.0001243188,0.8791794,0.00001763161,0.0002086218,0.000261286,4.10151e-7,0.00080873,0.002077225],"genre_scores_gemma":[0.7503407,0.00007274486,0.2494787,0.000005128189,0.00002632033,0.00002693947,5.94632e-7,0.00002484082,0.00002403895],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6330183,"threshold_uncertainty_score":0.5282982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383652279778207,"score_gpt":0.2169452010349524,"score_spread":0.2031086782371703,"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."}}