{"id":"W2042316989","doi":"10.1145/1836001.1836009","title":"Towards understanding developing world traffic","year":2010,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Computer and Network Systems","keywords":"Computer science; Scope (computer science); Data science; Proxy (statistics); Developing country; Work (physics); World Wide Web; Engineering","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":[0.0001829283,0.00007189662,0.00007027331,0.0001213614,0.0001249283,0.0002001507,0.0004489594,0.00002479001,0.00003150625],"category_scores_gemma":[0.00001405964,0.00006135127,0.00004194823,0.0002901718,0.00001777239,0.0002640164,0.0001094824,0.0001724681,0.00005170424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004849913,"about_ca_system_score_gemma":0.00007694144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002754964,"about_ca_topic_score_gemma":0.0005072253,"domain_scores_codex":[0.9993689,0.000011202,0.00009820038,0.0001966645,0.0001442817,0.0001807572],"domain_scores_gemma":[0.9996223,0.00003773485,0.00002031865,0.0002457554,0.0000195437,0.00005430776],"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":[8.300436e-7,0.000007020915,0.00008079633,0.00000231555,0.000005698044,0.000007243749,0.0001423945,0.00002802188,0.001493965,0.9679912,0.001122956,0.0291175],"study_design_scores_gemma":[0.001838836,0.0001093981,0.005055045,0.0001339194,0.00002251699,0.0002161797,0.0008212064,0.8282712,0.007755042,0.09266403,0.06088916,0.002223487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07864003,0.00001110886,0.8770867,0.003297067,0.001088763,0.00003900973,1.33124e-7,0.0003961839,0.03944103],"genre_scores_gemma":[0.9691646,0.00000156955,0.02833171,0.0006819387,0.00005781982,0.000001665723,3.115858e-7,0.000003894926,0.001756528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8905245,"threshold_uncertainty_score":0.2501833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626855021188603,"score_gpt":0.2556123756837611,"score_spread":0.1929268735649007,"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."}}