{"id":"W2147962236","doi":"10.1109/icns.2008.53","title":"Corouting: An IP Hybrid Routing Approach","year":2008,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Jitter; Computer network; Scalability; Robustness (evolution); Network packet; Link-state routing protocol; Equal-cost multi-path routing; Open Shortest Path First; Shortest path problem; Distributed computing; Routing protocol; Routing (electronic design automation); Bandwidth (computing); Theoretical computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002169508,0.0001096228,0.000125303,0.00003389468,0.0002603675,0.00007808649,0.0006326424,0.00002770311,0.00001925147],"category_scores_gemma":[0.00001425852,0.00009512785,0.0000462555,0.0001651462,0.00003876229,0.0004108245,0.0000909138,0.0001138668,0.00006840627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001511472,"about_ca_system_score_gemma":0.00005604977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001387946,"about_ca_topic_score_gemma":9.234754e-7,"domain_scores_codex":[0.9989149,0.00005802795,0.0001706199,0.000361813,0.0001988218,0.0002958097],"domain_scores_gemma":[0.9992872,0.00003708319,0.00005039122,0.0004405561,0.00005206044,0.0001327505],"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":[0.000008146893,0.0002233403,0.002281326,0.000003157,0.0000226566,0.00007975333,0.000763711,0.003098154,0.0000453013,0.399063,0.005648611,0.5887628],"study_design_scores_gemma":[0.0002958559,0.0000414175,0.001297974,0.000002121031,0.000002249194,0.000152335,0.00002612796,0.9968796,0.00006448349,0.0001326918,0.0009517721,0.0001533539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03991909,0.00003436655,0.9197879,0.0001941539,0.0001625983,0.00008613364,1.929825e-7,0.0006103971,0.03920521],"genre_scores_gemma":[0.9397875,0.000003065084,0.05768885,0.0007168835,0.0001848664,0.000007475064,0.000001656704,0.000006488625,0.001603181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9937814,"threshold_uncertainty_score":0.3879201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817118424176366,"score_gpt":0.2173301318950298,"score_spread":0.1891589476532661,"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."}}