{"id":"W1981196359","doi":"10.3390/fi2040603","title":"Network Edge Intelligence for the Emerging Next-Generation Internet","year":2010,"lang":"en","type":"article","venue":"Future Internet","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Cloud computing; Software deployment; Variety (cybernetics); The Internet; Content delivery network; Enhanced Data Rates for GSM Evolution; Service (business); Service provider; Edge device; Computer network; World Wide Web; Computer security; Telecommunications; Server; Operating system; Artificial intelligence; Business","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":[0.0004730334,0.000174927,0.0001480055,0.0004032479,0.0006923493,0.002438745,0.0004985055,0.001341074,0.005274435],"category_scores_gemma":[0.001193408,0.0001159312,0.0001635009,0.0006108152,0.0004766724,0.004246095,0.001160279,0.001118601,0.001116157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000814023,"about_ca_system_score_gemma":0.001126671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151032,"about_ca_topic_score_gemma":0.002982837,"domain_scores_codex":[0.9998071,0.00003683704,0.00000876275,0.00002086456,0.00009334942,0.00003307812],"domain_scores_gemma":[0.9996753,0.00008997474,0.00003358598,0.00005455387,0.0000858008,0.00006079166],"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":[0.00007205163,0.00005737459,0.001176975,0.0001639907,0.00001423671,0.0003108882,0.0002323449,0.005373669,0.005100273,0.7206882,0.05265049,0.2141594],"study_design_scores_gemma":[0.0000151946,0.0000452603,0.00122839,0.0002705588,0.00003092167,0.0006213275,0.0003912743,0.04290993,0.001774071,0.26059,0.6920974,0.00002562536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07127562,0.07340519,0.3015794,0.1059771,0.003750694,0.0001772259,0.0002575128,0.001626489,0.4419507],"genre_scores_gemma":[0.6112641,0.07186271,0.2068274,0.009853984,0.002456437,0.0001251315,0.0004913862,0.0002328219,0.09688601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005274435,"threshold_uncertainty_score":0.01764476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214608528300326,"score_gpt":0.2535138774510536,"score_spread":0.2113677921680504,"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."}}