{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007675622,0.0006479303,0.0003695981,0.005958956,0.0007194507,0.003825799,0.0005338302,0.0008052779,0.002207319],"category_scores_gemma":[0.006059379,0.0003337719,0.0003762681,0.0074359,0.0006985249,0.006639584,0.001354809,0.00159771,0.0005399624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610962,"about_ca_system_score_gemma":0.0009787304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02813692,"about_ca_topic_score_gemma":0.01560357,"domain_scores_codex":[0.9996185,0.0001203383,0.00002600805,0.00007249825,0.00007240565,0.00009022019],"domain_scores_gemma":[0.9981321,0.0006812172,0.0003878624,0.0001890588,0.0005020356,0.0001078234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001297829,0.0002314647,0.5072194,0.0005305273,0.0001554784,0.0008391437,0.009722315,0.04410516,0.006467079,0.2266407,0.01133559,0.1926234],"study_design_scores_gemma":[0.000019315,0.000107456,0.4434344,0.0006634704,0.0001097724,0.001111347,0.02263959,0.1832009,0.005369735,0.1765644,0.1666292,0.0001504741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7903131,0.00371445,0.12003,0.004242563,0.0001145819,0.0001721436,0.008276788,0.0005297161,0.07260662],"genre_scores_gemma":[0.9427704,0.005566534,0.04378425,0.0003773686,0.0001281994,0.0001816083,0.004880162,0.0001815702,0.002129991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02813692,"threshold_uncertainty_score":0.05594629,"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."}}