{"id":"W4213230085","doi":"10.4018/978-1-7998-4873-8","title":"Cases on Edge Computing and Analytics","year":2021,"lang":"en","type":"book","venue":"Advances in computational intelligence and robotics book series","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Analytics; Computer science; Enhanced Data Rates for GSM Evolution; Data science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002246246,0.000416857,0.0005057875,0.0002999659,0.0002849432,0.0002993364,0.0004621624,0.000152141,0.00000472269],"category_scores_gemma":[0.00006732398,0.0004083965,0.0000757313,0.0002272454,0.0003340442,0.0001996061,0.0008102583,0.000470095,0.00000868707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000108876,"about_ca_system_score_gemma":0.0001785656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003443118,"about_ca_topic_score_gemma":0.00002178526,"domain_scores_codex":[0.9977616,0.00006755552,0.000572803,0.0008367632,0.0004276508,0.000333618],"domain_scores_gemma":[0.9979467,0.001190158,0.0002542772,0.0003387163,0.0001620676,0.0001080442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004878157,0.00002636934,0.00002896732,0.0001246469,0.00002333795,0.0001916159,0.0002268753,0.6471903,3.580774e-8,0.316469,0.000234031,0.0354799],"study_design_scores_gemma":[0.0001286789,0.0003705549,0.0000924948,0.001498212,0.00003182558,0.0003214076,0.0001936738,0.7680878,0.00001083073,0.1446628,0.08382206,0.0007796795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001077356,0.06427751,0.8677981,0.002057957,0.001129423,0.0004167562,0.00001135696,0.0002000207,0.06400114],"genre_scores_gemma":[0.04684976,0.04997433,0.4712879,0.007214195,0.001629716,0.00002316674,0.0002221779,0.0002100894,0.4225886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3965102,"threshold_uncertainty_score":0.9998368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667026941991035,"score_gpt":0.2917379788869852,"score_spread":0.2650677094670749,"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."}}