{"id":"W4401247234","doi":"10.1109/mic.2024.3383758","title":"Revisiting Edge AI: Opportunities and Challenges","year":2024,"lang":"en","type":"article","venue":"IEEE Internet Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Enhanced Data Rates for GSM Evolution; Data science; World Wide Web; Telecommunications","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":[0.004466393,0.0007416853,0.0007481107,0.001640379,0.001849556,0.008317891,0.00254747,0.003459534,0.006736019],"category_scores_gemma":[0.007892163,0.0004932798,0.0006398649,0.001874072,0.00534206,0.02076492,0.004426562,0.009093545,0.002627873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179517,"about_ca_system_score_gemma":0.003050329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003004311,"about_ca_topic_score_gemma":0.003663012,"domain_scores_codex":[0.9982698,0.0006290909,0.0000880607,0.0002716188,0.0005411003,0.0002002868],"domain_scores_gemma":[0.9900532,0.006622396,0.0002505813,0.0008068253,0.001780897,0.000486099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003864039,0.0000808763,0.0006687341,0.0007701782,0.00002467846,0.0001717663,0.0005109701,0.004499122,0.0006227054,0.8482015,0.02872648,0.1156843],"study_design_scores_gemma":[0.000009082991,0.00004493276,0.000390955,0.0008824475,0.0000187841,0.0002378596,0.001430025,0.02137049,0.0006663665,0.7332152,0.2417,0.00003398054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01742022,0.1763967,0.2161298,0.3686415,0.01147883,0.0001221385,0.0003967871,0.0007692323,0.208645],"genre_scores_gemma":[0.4442998,0.3059449,0.1462921,0.04933268,0.0183951,0.0002577057,0.000638174,0.0007143952,0.03412516],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008317891,"threshold_uncertainty_score":0.02362084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09894864539242888,"score_gpt":0.287821873082944,"score_spread":0.1888732276905151,"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."}}