{"id":"W2037936810","doi":"10.1016/j.osn.2005.06.003","title":"The threshold hop-limit effect in -cycles: Comparing hop- and circumference-limited design","year":2005,"lang":"en","type":"article","venue":"Optical Switching and Networking","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"University of Alberta","keywords":"Hop (telecommunications); Limiting; Computer science; Circumference; Limit (mathematics); Path (computing); Telecommunications; Mathematics; Computer network; Geometry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008414552,0.0002982898,0.0003448632,0.0003823952,0.0002903878,0.0007551548,0.001183166,0.0004846882,0.003255765],"category_scores_gemma":[0.003170336,0.0001822554,0.0001831342,0.000285729,0.0004317146,0.001102874,0.0004900274,0.0002955282,0.0002769436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006946523,"about_ca_system_score_gemma":0.0006883413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004320337,"about_ca_topic_score_gemma":0.0008586792,"domain_scores_codex":[0.9995034,0.0001833287,0.00001718154,0.00004822085,0.0002034823,0.00004442999],"domain_scores_gemma":[0.9982929,0.0008566402,0.0001870325,0.0002905376,0.0002876916,0.00008528913],"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":[0.001340872,0.0004514086,0.003144323,0.0004997136,0.0001243796,0.0001300361,0.0003373927,0.2745993,0.1123979,0.3636833,0.002798196,0.2404932],"study_design_scores_gemma":[0.0001273751,0.001362695,0.0009422885,0.00006390255,0.0001427916,0.000226565,0.0000683177,0.8736078,0.06811447,0.0464404,0.008859495,0.0000439648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3815262,0.001764889,0.5676972,0.0005353097,0.0001228317,0.0001527068,0.00006914524,0.0006217503,0.04750994],"genre_scores_gemma":[0.9432443,0.0003345221,0.05161877,0.0001001485,0.00003083041,0.00006311219,0.00002202518,0.00008236966,0.004503945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003255765,"threshold_uncertainty_score":0.01089156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971634787650899,"score_gpt":0.232394943443648,"score_spread":0.212678595567139,"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."}}