{"id":"W2104246885","doi":"10.1109/wimob.2009.23","title":"Media Caching Support for Mobile Transit Clients","year":2009,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cache; Smart Cache; Computer network; False sharing; The Internet; Cache algorithms; Wireless; Point (geometry); CPU cache; Operating system","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":[0.0005976796,0.000270754,0.0004272912,0.0003131077,0.0007172512,0.00119052,0.001180841,0.0004950128,0.00124664],"category_scores_gemma":[0.003850179,0.000182526,0.0002098259,0.0004297237,0.0003091746,0.001214665,0.0006057488,0.0003875688,0.0002411295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121127,"about_ca_system_score_gemma":0.001046771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007237929,"about_ca_topic_score_gemma":0.009006198,"domain_scores_codex":[0.9997376,0.0000893988,0.00001494293,0.00003095704,0.00006202646,0.00006518768],"domain_scores_gemma":[0.9982591,0.000711056,0.0001759984,0.0002066987,0.0005586185,0.00008854498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002873291,0.000886788,0.04474751,0.0008358479,0.0002236604,0.003513163,0.002698105,0.2812582,0.2154792,0.06269019,0.007249352,0.3775447],"study_design_scores_gemma":[0.0001074041,0.0003018636,0.004565528,0.00004578979,0.0001356045,0.0006088572,0.0005455552,0.9436585,0.03630717,0.006028084,0.007659796,0.0000358512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8336985,0.001389373,0.1506731,0.0006174415,0.00004067238,0.0001747183,0.0001120211,0.001955669,0.01133858],"genre_scores_gemma":[0.9877318,0.0001576038,0.01080005,0.00002387137,0.00001786003,0.00002306451,0.00004035813,0.00002092042,0.001184581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007237929,"threshold_uncertainty_score":0.0143916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702428029755242,"score_gpt":0.2480453038135148,"score_spread":0.2310210235159623,"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."}}