{"id":"W4385329436","doi":"10.1109/iwqos57198.2023.10188726","title":"A Holistic QoS View of Crowdsourced Edge Cloud Platform","year":2023,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Server; Quality of service; Enhanced Data Rates for GSM Evolution; Cloud computing; Edge computing; Edge device; Computer network; Service (business); Software deployment; Distributed computing; Operating system; 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":[0.0006365527,0.0009171737,0.0006473757,0.001178244,0.0008776456,0.002081497,0.0009809999,0.0008381663,0.001135194],"category_scores_gemma":[0.001915332,0.0002586483,0.0003172546,0.00121323,0.001192748,0.003004377,0.00158955,0.001332771,0.0002845348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332625,"about_ca_system_score_gemma":0.0007769498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005683218,"about_ca_topic_score_gemma":0.002507486,"domain_scores_codex":[0.9990698,0.000131617,0.00003352763,0.0002298087,0.0003730355,0.000162225],"domain_scores_gemma":[0.999099,0.0002073696,0.0001296365,0.0001735517,0.0002545383,0.0001360038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004581279,0.0003107093,0.02059106,0.0003771301,0.000158687,0.0014053,0.001136955,0.6575549,0.08558875,0.1376397,0.009013421,0.08576516],"study_design_scores_gemma":[0.00001312168,0.0001393785,0.01124093,0.00003631436,0.00003752306,0.0004460227,0.00089896,0.904359,0.01089463,0.06384095,0.008001043,0.0000921176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4359241,0.002312842,0.5059055,0.003156431,0.0003348437,0.0002114382,0.001844435,0.001303428,0.04900695],"genre_scores_gemma":[0.969427,0.0005267385,0.02787,0.0002652631,0.0001359982,0.00005875628,0.0002865419,0.00006303093,0.001366666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005683218,"threshold_uncertainty_score":0.01130027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0674370365792737,"score_gpt":0.2889927881978858,"score_spread":0.2215557516186121,"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."}}