{"id":"W1512796272","doi":"","title":"Memory-aware SLA-based mechanism for shared-mesh WDM networks","year":2011,"lang":"en","type":"article","venue":"International Conference on Ultra Modern Telecommunications","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Computer science; Backup; Provisioning; Computer network; Network topology; Path (computing); Metric (unit); Distributed computing; Service provider; Blocking (statistics); Service (business); Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008962265,0.0002532809,0.000204218,0.0001567005,0.0001554358,0.00006614449,0.001570364,0.0001987912,0.0003677732],"category_scores_gemma":[0.0001103407,0.0002710175,0.000112824,0.0001338806,0.0001104339,0.0002168585,0.00006935607,0.0004648306,0.00004174357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134318,"about_ca_system_score_gemma":0.0000346764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030857,"about_ca_topic_score_gemma":0.00007708114,"domain_scores_codex":[0.9988226,0.00002261613,0.0003581695,0.0002738828,0.0001825025,0.000340237],"domain_scores_gemma":[0.9982827,0.0002546746,0.0000799907,0.0009221816,0.0003806361,0.00007981018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006384162,0.0002526407,0.00004952733,0.00002132482,0.0001908285,0.000002315648,0.0003000257,0.1258052,0.001675927,0.8174622,0.0009275536,0.05324864],"study_design_scores_gemma":[0.0003421487,0.00006569777,0.00009541524,0.00006521232,0.00001500305,0.00000219571,0.0001037048,0.9037309,0.003620627,0.09138057,0.0002889039,0.0002895881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00118391,0.00005468609,0.9565457,0.0008929366,0.0003125198,0.0004367318,0.0001456767,0.001212258,0.0392156],"genre_scores_gemma":[0.8936098,0.0002929207,0.1048242,0.0002189047,0.00004432959,0.0005718293,0.0002458857,0.00005525566,0.000136916],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8924259,"threshold_uncertainty_score":0.9999742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06467475551907022,"score_gpt":0.280135708244459,"score_spread":0.2154609527253888,"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."}}