{"id":"W3139466609","doi":"10.1109/mwc.001.2000264","title":"A Novel Centralized Cloud-Based Mobile Data Rollover Management","year":2021,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Roaming; Cloud computing; Service (business); The Internet; Mobile broadband; Service provider; Data as a service; Computer network; Computer security; Telecommunications; World Wide Web; Wireless; 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":[0.0004716707,0.0005381933,0.001022115,0.0005861681,0.001411036,0.001720813,0.002734106,0.0006204324,0.002046886],"category_scores_gemma":[0.0006336697,0.000247006,0.0004507792,0.001334871,0.0004342296,0.00159125,0.001275513,0.0005934377,0.0005318112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618828,"about_ca_system_score_gemma":0.003133259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286871,"about_ca_topic_score_gemma":0.01071309,"domain_scores_codex":[0.9990282,0.00009616542,0.00004462036,0.0002382261,0.0002946382,0.0002981344],"domain_scores_gemma":[0.999308,0.00007026571,0.00009234289,0.0001568086,0.0002498952,0.0001226937],"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":[0.001742809,0.0009134521,0.008019478,0.0003473232,0.0002105294,0.00136457,0.0003125091,0.2309368,0.07784972,0.03505977,0.0525494,0.5906937],"study_design_scores_gemma":[0.00006792398,0.0001107537,0.000870711,0.00001247596,0.00003973959,0.0002405729,0.00006723529,0.9814376,0.008557502,0.001769501,0.006794492,0.00003148197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0877183,0.002335291,0.8906518,0.0009201285,0.0004896109,0.0004952555,0.0004351692,0.005333221,0.01162107],"genre_scores_gemma":[0.9290422,0.000403317,0.06569862,0.0002447462,0.0001709497,0.00008627771,0.0002744862,0.00004551783,0.004033793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01286871,"threshold_uncertainty_score":0.02558762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07438900779313735,"score_gpt":0.301127743917429,"score_spread":0.2267387361242917,"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."}}