{"id":"W2976097931","doi":"10.1109/mascots.2019.00030","title":"Characterization of IMAPS Email Traffic","year":2019,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cloud computing; Computer network; Enhanced Data Rates for GSM Evolution; Protocol (science); Transfer (computing); Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006220649,0.00003343435,0.00006025136,0.00003535586,0.00001015738,0.00002259582,0.0002056651,0.0000149583,0.00004104983],"category_scores_gemma":[0.000002212251,0.00002807924,0.00003003647,0.00008909813,0.000004405828,0.0002059238,0.00003898376,0.00002434502,0.0001457634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004509365,"about_ca_system_score_gemma":0.00001191644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009053678,"about_ca_topic_score_gemma":0.000001150365,"domain_scores_codex":[0.9996549,0.00001153612,0.00008196024,0.0001036303,0.0000869283,0.00006098489],"domain_scores_gemma":[0.9997075,0.00001030158,0.0000318001,0.0002068431,0.0000280254,0.00001549302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003632734,0.00004401143,0.001230214,0.00001348794,0.000007254217,9.374187e-7,0.0002687518,0.00007525982,0.9365,0.02570549,0.0001027494,0.03604821],"study_design_scores_gemma":[0.001206925,0.0003537179,0.05837524,0.00007815874,0.000009716016,0.00002240919,0.00008085418,0.8514643,0.08326797,0.0002766566,0.004353657,0.0005104127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540706,0.000005041678,0.04281362,0.0001770554,0.0002165749,0.0000435844,5.35751e-7,0.00006730636,0.002605655],"genre_scores_gemma":[0.996584,0.000002879741,0.000348451,0.0001419134,0.00001065439,7.116773e-7,0.000002550359,0.000001685148,0.002907163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.853232,"threshold_uncertainty_score":0.1873542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007076561282301446,"score_gpt":0.1821681215418594,"score_spread":0.1750915602595579,"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."}}