{"id":"W3045182054","doi":"10.1109/iccworkshops49005.2020.9145296","title":"A Dynamic Algorithm for Fog Computing Data Processing Decision Optimization","year":2020,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Cloud computing; Computer science; Distributed computing; Server; Enhanced Data Rates for GSM Evolution; Service provider; Heuristic; Edge computing; Service (business); Algorithm; Computer network; 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":[0.0003306187,0.0001323792,0.0001580625,0.00005444054,0.000307306,0.00042828,0.001525376,0.0000493337,0.000001443114],"category_scores_gemma":[0.0001209483,0.0001216307,0.00003500582,0.0004789387,0.00001369454,0.0008324481,0.001248149,0.0000879949,0.0000111955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002578606,"about_ca_system_score_gemma":0.00008805645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003375328,"about_ca_topic_score_gemma":3.409598e-7,"domain_scores_codex":[0.9985568,0.00001890006,0.0002841322,0.000634763,0.0002077433,0.000297686],"domain_scores_gemma":[0.9990498,0.0001648981,0.0001063006,0.0004501322,0.0001220585,0.0001067779],"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":[0.00000206127,0.00001261391,0.000009334801,0.00001807596,0.000003751012,0.000001817367,0.0003230344,0.0151855,0.00001587397,0.00004209931,0.002971245,0.9814146],"study_design_scores_gemma":[0.0003362889,0.00004595985,0.00002033718,0.00004031121,0.000005048314,0.000006469351,0.00001660508,0.9963427,0.00003498304,0.000226257,0.002757848,0.0001672181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001481567,0.00009835734,0.9961618,0.001143745,0.001528256,0.0002331271,7.663057e-7,0.0004201813,0.0002656352],"genre_scores_gemma":[0.008454813,0.000002207469,0.9899172,0.0008874045,0.000658853,0.00000152491,0.0000451211,0.00001463726,0.00001828877],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9812474,"threshold_uncertainty_score":0.4959956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664425137509046,"score_gpt":0.307245825992691,"score_spread":0.2606015746176006,"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."}}