{"id":"W1501918392","doi":"10.1109/icpwc.1999.759694","title":"Caching in hierarchical user location databases for PCS","year":2003,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Tree (set theory); Computer network; Architecture; Mobility management; Database; Distributed computing","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":[0.002705256,0.0004473734,0.001039288,0.0009274915,0.001250725,0.00261835,0.002349033,0.001400843,0.001143746],"category_scores_gemma":[0.009344561,0.0006364414,0.0004098512,0.003342527,0.0009182719,0.004120345,0.001329726,0.0007363433,0.0003408702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003268439,"about_ca_system_score_gemma":0.00234278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02929862,"about_ca_topic_score_gemma":0.03040944,"domain_scores_codex":[0.998037,0.0006479116,0.0001585861,0.0002585745,0.000549301,0.0003486224],"domain_scores_gemma":[0.9929375,0.002626447,0.0008084469,0.002352554,0.0009869157,0.0002881207],"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":[0.001218239,0.0002817122,0.01648449,0.0002114785,0.000134551,0.000636431,0.0005038794,0.7601249,0.01335519,0.07179722,0.007216066,0.1280359],"study_design_scores_gemma":[0.00003733603,0.00009556812,0.002192563,0.00001432646,0.00005057909,0.0001636161,0.0001322736,0.9822469,0.003928032,0.009226712,0.001888991,0.00002308434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5532306,0.002316691,0.4336041,0.00102234,0.00006006795,0.0002543502,0.000393693,0.003330413,0.005787755],"genre_scores_gemma":[0.9404159,0.0003716137,0.05728804,0.00006127916,0.00002709715,0.00006881724,0.0001966248,0.00004186163,0.001528741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02929862,"threshold_uncertainty_score":0.05825615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04199355576139353,"score_gpt":0.2765455389037854,"score_spread":0.2345519831423919,"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."}}