{"id":"W3094716077","doi":"10.3390/fi12110190","title":"Fog Computing for Smart Cities’ Big Data Management and Analytics: A Review","year":2020,"lang":"en","type":"review","venue":"Future Internet","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"United Arab Emirates University","keywords":"Computer science; Smart city; Big data; Computer security; Electricity; Telecommunications; Edge computing; Analytics; Data science; Internet of Things","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":[0.0007175074,0.0005717803,0.001777561,0.0001813804,0.00009587741,0.0004229161,0.003905097,0.0001670166,0.000002747513],"category_scores_gemma":[0.00005402253,0.0004682562,0.0003373106,0.0005109359,0.00003571333,0.0001630226,0.005217758,0.0004519844,0.00005830237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007727122,"about_ca_system_score_gemma":0.000102459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007066359,"about_ca_topic_score_gemma":0.00000205279,"domain_scores_codex":[0.9968915,0.0001310339,0.0008956806,0.001325872,0.0002766566,0.0004792616],"domain_scores_gemma":[0.9974495,0.0002314168,0.0005158851,0.001574241,0.00006527598,0.0001636839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.270272e-7,0.000005975492,9.216134e-7,0.0403376,0.0001903387,0.00003190538,0.00005426557,1.611849e-8,7.16269e-10,0.0005461968,0.2816572,0.677175],"study_design_scores_gemma":[0.0001156472,0.00004684397,0.000001311391,0.04951918,0.0005935249,0.00009120232,0.000005404408,0.006758878,2.686239e-8,0.00008364001,0.9423381,0.0004462109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.344779e-8,0.8068698,0.1760124,0.0005217668,0.01447505,0.001026076,0.00001348403,0.0001485763,0.0009328547],"genre_scores_gemma":[1.465623e-7,0.9551935,0.02908863,0.00129835,0.01328356,0.0000251186,0.0003595741,0.0000459396,0.0007052099],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6767288,"threshold_uncertainty_score":0.9997769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1311780322843946,"score_gpt":0.3394300630064557,"score_spread":0.2082520307220611,"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."}}