{"id":"W2776677798","doi":"10.1109/temc.2019.2957423","title":"Review of the EMC Aspects of Internet of Things","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Electromagnetic Compatibility","topic":"IoT Networks and Protocols","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Troubleshooting; Electromagnetic compatibility; Internet of Things; Wireless; Computer science; Electromagnetic interference; MIMO; Electronic engineering; Multi-user MIMO; Spurious relationship; Computer network; Electrical engineering; Telecommunications; Engineering; Embedded system; Channel (broadcasting)","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":[0.0003918919,0.000628441,0.0006058066,0.002039732,0.0003286012,0.0009752366,0.0005865093,0.0007961069,0.005621635],"category_scores_gemma":[0.0008150393,0.0003405405,0.0003739888,0.002941099,0.0003035615,0.001739001,0.0004529479,0.0008727097,0.002943655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004191761,"about_ca_system_score_gemma":0.0008591515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008482088,"about_ca_topic_score_gemma":0.001041186,"domain_scores_codex":[0.9996619,0.00004353933,0.00004924871,0.00005082638,0.0001737749,0.0000207781],"domain_scores_gemma":[0.9992089,0.0003214712,0.00008905897,0.00002961152,0.0003178154,0.00003322049],"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":[0.00005468642,0.00006175022,0.0003811567,0.01673189,0.00006352824,0.0003858454,0.0001066849,0.001266642,0.005533707,0.01221624,0.07521314,0.8879846],"study_design_scores_gemma":[0.000002323532,0.00005724228,0.0006255117,0.001638769,0.00004140636,0.000982901,0.00005191793,0.0002714554,0.000695858,0.002249161,0.9933649,0.00001853804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006997316,0.9765843,0.003996557,0.0009346448,0.002087283,0.0000307345,0.0001166623,0.00004383135,0.01550627],"genre_scores_gemma":[0.003354215,0.9847895,0.00247353,0.0007763298,0.001895394,0.00002259606,0.0002077388,0.00001360021,0.006467167],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005621635,"threshold_uncertainty_score":0.01880628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008222411088291855,"score_gpt":0.2248196763135248,"score_spread":0.216597265225233,"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."}}