{"id":"W1586864325","doi":"10.1007/978-3-540-24663-3_5","title":"Modeling and Simulation of Mesh Networks with Path Protection and Restoration","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Path (computing); Unified Modeling Language; Path protection; Notation; Class diagram; Distributed computing; Routing (electronic design automation); Mesh networking; Computer network; Programming language; 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":[0.0004002725,0.0006715773,0.000861505,0.0006369575,0.0005731352,0.0009600249,0.001930628,0.001634998,0.003832491],"category_scores_gemma":[0.001735371,0.0006406228,0.0008202685,0.0007879937,0.0006605479,0.001136616,0.0005498496,0.0006382469,0.0004006621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378806,"about_ca_system_score_gemma":0.0009923719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005894,"about_ca_topic_score_gemma":0.01025151,"domain_scores_codex":[0.9997748,0.00006930455,0.00001157314,0.00003446217,0.00006096852,0.00004893216],"domain_scores_gemma":[0.9992988,0.0004421551,0.00006146105,0.00005650707,0.00009907262,0.00004190912],"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":[0.00001118847,0.00001009694,0.000106942,0.000006411359,0.000003774914,0.00001033205,0.000006399025,0.9978396,0.0002026978,0.001032986,0.0001106467,0.0006589349],"study_design_scores_gemma":[0.000003045476,0.000004631952,0.00002834291,0.000001078119,0.000001704304,0.000003164609,0.000002883534,0.9992437,0.000113737,0.0004753437,0.0001209003,0.000001451418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4878874,0.001264829,0.4566447,0.001464141,0.000352421,0.0002438476,0.001710342,0.002069889,0.04836255],"genre_scores_gemma":[0.9506133,0.0005287664,0.0390619,0.00009128453,0.00005015737,0.0001757477,0.0004942818,0.000159073,0.008825483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02005894,"threshold_uncertainty_score":0.03988433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213868143170906,"score_gpt":0.2126359667907946,"score_spread":0.2004972853590856,"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."}}