{"id":"W2388646937","doi":"","title":"A Framework and Critical Algorithm of Interdomain Egress Selection Optimization Based on Link States","year":2007,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Border Gateway Protocol; Computer science; Default-free zone; Computer network; Distributed computing; Interior gateway protocol; Router; Routing protocol; Routing (electronic design automation); IP forwarding; Selection (genetic algorithm); Path vector protocol; Link (geometry); The Internet; State (computer science); Protocol (science); Link-state routing protocol; Algorithm","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":[0.001406396,0.0008726029,0.0007826724,0.001066045,0.0008343133,0.001184665,0.001576972,0.0008879873,0.001994215],"category_scores_gemma":[0.002662765,0.000369026,0.000533803,0.0008304335,0.001432192,0.001695872,0.001333042,0.001386673,0.0002556966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180774,"about_ca_system_score_gemma":0.001759239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00409447,"about_ca_topic_score_gemma":0.001611947,"domain_scores_codex":[0.9993713,0.0001876142,0.00002837168,0.0001493425,0.0001757603,0.00008763932],"domain_scores_gemma":[0.9994247,0.0002534049,0.00007742512,0.00004626917,0.0001616271,0.00003655881],"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":[0.00007725979,0.00004264038,0.000576607,0.00006814732,0.00002556287,0.00008766561,0.0001524302,0.7325115,0.002981724,0.1905036,0.002709039,0.0702638],"study_design_scores_gemma":[0.00001433478,0.00003239051,0.00005850114,0.000009140224,0.000009232871,0.00002677869,0.00001746206,0.9708518,0.0008800737,0.02652198,0.00156862,0.00000971961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002744346,0.0000828046,0.9956455,0.00006830875,0.00001595074,0.00003098091,0.000009129748,0.0001110301,0.001291882],"genre_scores_gemma":[0.3873599,0.0003904869,0.6086449,0.00009574286,0.00006143903,0.0003367986,0.00009605655,0.0001057673,0.002908936],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00409447,"threshold_uncertainty_score":0.01311612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006779714762944549,"score_gpt":0.2602439008942449,"score_spread":0.2534641861313004,"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."}}