{"id":"W1525152908","doi":"10.1109/iscc.1998.702446","title":"Design considerations for link-state routing protocols","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Link-state routing protocol; Computer network; Routing protocol; Zone Routing Protocol; Static routing; Enhanced Interior Gateway Routing Protocol; Dynamic Source Routing; Distributed computing; Wireless Routing Protocol; Interior gateway protocol; Policy-based routing; Routing Information Protocol; Routing (electronic design automation)","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":[0.0002379196,0.00007960096,0.00009405051,0.00002717822,0.0002092449,0.0002405958,0.0001889174,0.00002818361,0.0001091525],"category_scores_gemma":[0.00007830737,0.00006844942,0.00003908649,0.0000945623,0.00001479536,0.0002215398,0.00002646077,0.00005442336,0.00008611004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001115447,"about_ca_system_score_gemma":0.00002927618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.144811e-7,"about_ca_topic_score_gemma":0.000002905923,"domain_scores_codex":[0.9992457,0.00005023179,0.0001837145,0.0002170417,0.00009012441,0.0002131547],"domain_scores_gemma":[0.9989749,0.0005821994,0.00004939942,0.0002321007,0.0001009135,0.00006052179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004175536,0.0000471153,0.00001575632,0.000004607041,0.00001758325,0.00000508972,0.0005051007,0.01380887,0.0001009449,0.2603293,0.03180664,0.6933548],"study_design_scores_gemma":[0.0005117843,0.00007474514,0.000006398921,0.000008680012,0.000002094325,0.000006933765,0.000002765684,0.9813926,0.0002859152,0.0121553,0.005451939,0.0001008907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000009505968,0.00001356755,0.983529,0.006064171,0.00007328887,0.007708914,4.984804e-7,0.0003196993,0.002281332],"genre_scores_gemma":[0.3973092,0.00000172655,0.5825868,0.002114839,0.0001660926,0.01253705,2.821818e-7,0.000008836545,0.005275242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9675837,"threshold_uncertainty_score":0.2791286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09229484860055066,"score_gpt":0.2784361676113502,"score_spread":0.1861413190107996,"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."}}