{"id":"W3158760877","doi":"10.1109/mcom.2021.9422329","title":"Series Editorial: Internet of Things and Sensor Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Internet of Things; Enhanced Data Rates for GSM Evolution; The Internet; Pandemic; Edge computing; Work (physics); Telecommunications; Computer security; Internet privacy; Telemedicine; Coronavirus disease 2019 (COVID-19); Data science; Face (sociological concept); Health care; World Wide Web","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":[0.0001992202,0.0001075577,0.000166951,0.00007572039,0.0001011092,0.0001658866,0.0005464571,0.00007196162,0.0001143597],"category_scores_gemma":[0.0001769646,0.0001044196,0.00003295274,0.0004313068,0.0002159206,0.001153481,0.0006833266,0.0001526399,0.00006507854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007078897,"about_ca_system_score_gemma":0.00001703683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001367339,"about_ca_topic_score_gemma":0.0001455127,"domain_scores_codex":[0.9993202,0.00001735968,0.0002606243,0.0001553146,0.0001237062,0.0001228105],"domain_scores_gemma":[0.9982086,0.00008259179,0.000163954,0.00102119,0.0005150969,0.000008558573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008141534,0.0004221259,0.009044602,0.0005357808,0.0001138241,0.000008309575,0.0002439042,0.0001165187,0.009307393,0.1002964,0.8610922,0.01873745],"study_design_scores_gemma":[0.0001542824,0.000004893511,0.001162682,0.0001266052,0.00005130787,0.0000108217,0.00009211334,0.009273587,0.0005663471,0.001458137,0.9869346,0.0001645946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1371928,0.03095829,0.1578154,0.07498221,0.1881665,0.002205851,0.0001171419,0.00200049,0.4065614],"genre_scores_gemma":[0.9613513,0.003120869,0.01161276,0.001742067,0.0170759,0.00003309722,0.0004101295,0.00005525498,0.004598634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8241585,"threshold_uncertainty_score":0.4258106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05095332197383672,"score_gpt":0.2848027099262211,"score_spread":0.2338493879523844,"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."}}