{"id":"W2018213245","doi":"10.1287/opre.1060.0288","title":"An Economic Analysis of Interconnection Arrangements Between Internet Backbone Providers","year":2006,"lang":"en","type":"article","venue":"Operations Research","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta; Carnegie Mellon University; Ford Motor Company","keywords":"Peering; Service provider; The Internet; Computer science; Incentive; Revenue; Computer network; Quality of service; Service (business); Network packet; Business; Industrial organization; Microeconomics; Economics; Marketing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008254183,0.00007168976,0.0001703202,0.0006622768,0.0001344796,0.0003088604,0.0005621736,0.00004419269,0.0001543828],"category_scores_gemma":[0.00001505316,0.00006992806,0.0000664972,0.0008769615,0.00007139122,0.0006644442,0.00007801237,0.0001376554,0.00007394437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103988,"about_ca_system_score_gemma":0.0000964786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002773728,"about_ca_topic_score_gemma":0.00553638,"domain_scores_codex":[0.9986558,0.0002743676,0.0002880968,0.0003239668,0.0002424847,0.0002152641],"domain_scores_gemma":[0.9991532,0.0001006521,0.00002452388,0.0004509056,0.0002093952,0.00006134713],"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":[0.00002495663,0.0002729523,0.030823,0.00001037132,0.000879276,0.000003357898,0.00124542,0.6184331,0.002491676,0.1187529,0.004051177,0.2230118],"study_design_scores_gemma":[0.0002220666,0.0001201713,0.01132868,0.000005364301,0.00004202823,2.767701e-7,0.00007989656,0.9866511,0.0006244208,0.000140163,0.0007102582,0.00007552366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5864496,0.0000263906,0.4112977,0.0006691689,0.00007309368,0.000209271,0.000008066195,0.00004233197,0.001224322],"genre_scores_gemma":[0.9963641,0.000004058973,0.002370529,0.00001506874,0.0001211567,0.00005111115,0.00006376636,0.000004977834,0.001005225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4099145,"threshold_uncertainty_score":0.4193065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265455015327928,"score_gpt":0.3527544471638261,"score_spread":0.3100998970105468,"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."}}