{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914313,0.00005290012,0.00006199368,0.00006922779,0.00005357489,0.00005182124,0.0001919902,0.0000152451,0.000004087391],"category_scores_gemma":[0.0001148143,0.0000464968,0.00002311647,0.0001524302,0.000008458943,0.0003240348,0.00002799127,0.000071894,0.000009534686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000209914,"about_ca_system_score_gemma":0.00003947245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001811512,"about_ca_topic_score_gemma":0.0001830171,"domain_scores_codex":[0.9994174,0.00004951372,0.0001080656,0.0001983071,0.0000856481,0.0001410776],"domain_scores_gemma":[0.9995278,0.0001483834,0.00001557828,0.0002481638,0.00002678255,0.00003331287],"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":[0.000006762863,0.00008969033,0.00573756,0.00001357141,0.000004585662,0.000004545604,0.0002118431,0.001870012,0.0009860171,0.9787541,0.001701428,0.0106199],"study_design_scores_gemma":[0.002503706,0.0001667505,0.01023049,0.0001251917,0.00001097419,0.0000520418,0.0001716627,0.8786728,0.005166641,0.01224353,0.08987713,0.0007790882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07886517,0.00005298815,0.9189963,0.0003700361,0.000156352,0.00009293483,9.394853e-7,0.0000587875,0.001406434],"genre_scores_gemma":[0.9709488,0.000004010792,0.02777768,0.0005736474,0.00001832335,0.00001390965,0.000004075907,0.000003214584,0.0006563211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9665105,"threshold_uncertainty_score":0.1896085,"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."}}