{"id":"W4402157906","doi":"10.1109/comst.2024.3446585","title":"A Survey on Trustworthy Edge Intelligence: From Security and Reliability to Transparency and Sustainability","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Chongqing Municipal Education Commission; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Transparency (behavior); Trustworthiness; Sustainability; Reliability (semiconductor); Enhanced Data Rates for GSM Evolution; Computer science; Computer security; Business; Telecommunications; Physics; Biology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0319195,0.0002679876,0.0005820085,0.0004778538,0.0003935549,0.0005819394,0.002091106,0.0002224569,0.000119728],"category_scores_gemma":[0.01811157,0.0002241333,0.00009116892,0.001974427,0.0007839541,0.000296718,0.0007858705,0.0004516583,0.0001653944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469849,"about_ca_system_score_gemma":0.0001809938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003509434,"about_ca_topic_score_gemma":0.01214996,"domain_scores_codex":[0.9902179,0.006721908,0.001101202,0.001068641,0.0005583744,0.0003320087],"domain_scores_gemma":[0.9751734,0.01951072,0.0001202274,0.004178166,0.000829917,0.0001875976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001117342,0.0006840035,0.2783581,0.00006644922,0.0001051456,0.000007317551,0.00933777,0.00004876395,0.0000412455,0.03443479,0.0104533,0.6663514],"study_design_scores_gemma":[0.000179633,0.0001913247,0.447653,0.0000507663,0.00004191031,5.979595e-7,0.0008315882,0.001596187,0.0001687371,0.4527247,0.09614824,0.0004133639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508408,0.00374029,0.02991546,0.006810936,0.003599057,0.001506597,0.0007730426,0.0004119185,0.002401937],"genre_scores_gemma":[0.9982833,0.0005559279,0.0003381804,0.00004407349,0.0001375456,0.0001062031,0.00005405471,0.00001805653,0.0004627158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.665938,"threshold_uncertainty_score":0.9968426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271449810554234,"score_gpt":0.4173919701265912,"score_spread":0.2902469890711679,"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."}}